Infrastructure Engineer Jobs in Santa Clara, CA

We are seeking a highly skilled Cloud Infrastructure Engineer to join our team. You'll be instrumental in designing, building, and maintaining our scalable and reliable cloud infrastructure on Google Cloud Platform (GCP). This role is crucial for accelerating the development and validation of our autonomous eVTOL aircraft by providing world-class infrastructure solutions. You will be part of the STS Tools team, which provides essential data and simulation infrastructure and tools across. This is a hybrid work opportunity, requiring you to be onsite at our Mountain View office three days per week, with flexibility for the remaining days. As a Cloud Infrastructure Engineer in this space, you'll have the unique opportunity to shape the foundational infrastructure that powers the development and testing of products driving the future of autonomous flight. You'll work with cutting-edge cloud technologies and collaborate with talented engineers and researchers across disciplines like flight controls, autonomy, safety, simulation, system test, flight test, manufacturing, and certification. What You'll Do: • Design, implement, and manage robust and scalable cloud infrastructure on GCP using Infrastructure as Code (IaC) with Terraform or OpenTofu. You'll leverage core GCP services like Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, with a strong focus on containerized workloads and Kubernetes. • Implement and manage DevOps pipelines using GitLab CI/CD to automate infrastructure provisioning, application deployments, and operational tasks. • Design and implement automated workflows using workflow engines to orchestrate complex data processing, build, deployment, and simulation pipelines. • Collaborate with engineering teams to translate their infrastructure needs into secure, reliable, and cost-effective solutions. • Continuously monitor, troubleshoot, and optimize our GCP environment, staying current with the latest services and best practices. Requirements: • Bachelor's degree in Computer Science, Engineering, or a related technical field. • 5+ years of experience in cloud infrastructure engineering, with a strong focus on GCP. • Expertise in Infrastructure as Code (IaC) using Terraform or OpenTofu, along with deep understanding and hands-on experience with key GCP services including Compute Engine, GKE, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery. • Proven experience with containerization technologies like Docker and Kubernetes, particularly within a GCP (GKE) environment. • Solid experience with DevOps practices and pipeline automation using GitLab CI/CD, including the use of workflow engines for orchestration (e.g., Apache Airflow/Cloud Composer, Cloud Workflows, Argo Workflows). • Proficiency in scripting languages (e.g., Python, Bash). • Strong understanding of networking, security, and access management in GCP, coupled with excellent problem-solving, communication, and collaboration skills. Desired: • Experience with other GCP data analytics services or monitoring and logging solutions (e.g., Cloud Monitoring, Cloud Logging). • A passion for aviation, autonomous systems, and the future of mobility.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn's business. We drive technology vision, architecture, and design systems that help the company deliver on major business processes (go-to-market, sales, finance, and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line, and increase our efficiency. We are looking for driven and passionate engineers for our Business Applications team. As a Staff Software Engineer, you will play a pivotal role in the design and architecture of financial systems and business processes. You will be a results-driven candidate who can help coach team members and deliver at the highest levels of quality and craftsmanship. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs, scaling performance, and 24x7 reliability. Responsibilities: • Drive innovation by designing, architecting, building and shipping software at scale. • Improve craftsmanship at LinkedIn by developing best practices and defining best strategies. • Develop software that is unit tested, code reviewed and checked in regularly for continuous integrations. • Supply technical leadership, driving and performing best engineering practices to start, plan, and execute large-scale, cross functional, and company-wide critical programs. • Implement system interoperability, data exchange, process integration and business process automation tools primarily focused on financial modules. • Responsible for delivering enhancements & supporting Projects in E-Business Suite R12 in a custom application module and standard Oracle modules including Receivables, Revenue Recognition, Credit Management and Advanced Collections. • Develop APIs to support integrations between Oracle EBS and other application platforms (Engineering Systems, Service provisioning tools, CRM systems etc.) • Support integrations between Oracle EBS and other application platforms (Engineering Systems, Service provisioning tools, Salesforce) • Develop new strategies for improving internal processes and implementing optimal solutions through technology and tool sets. • Identify, use, and evangelize opportunities to improve engineering productivity. • Conduct in code and design reviews to maintain development standards. • Collaborate with cross-domain partner teams (product, commerce eng, finance transformation) to build financial systems platform. Basic Qualifications: • BA/BS Degree in Computer Science or related technical discipline, or related practical experience • 5+ years experience with software design, development, and algorithm related solutions. • 5+ years experience with Enterprise Software Implementation and Integration experience (including Architecture, Analysis, Design and Development Oracle Applications). Preferred Qualifications: • BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. • 4+ years of experience implementing and supporting business systems for order capture/booking, fulfillment, billing, and revenue recognition in a social media or similar “soft” product that be sold self-service (online), or through a sales representative • Experience in understanding the different Payment Gateways, their reporting structure and reconciling the settlement reports against bank statements. • Experience with month end & quarter end close process, including reconciling deferred, revenue and cash-in-transit accounts against order and settlement data. • Experience designing and building integrated business applications and web services at large scale. • Knowledge of computer science, with strong competencies in data structures and algorithms. And software design. • Experience in SQL Plus, PL/SQL, and LINUX scripting. • Experience working with cloud technology such as Azure. • Experience with financial systems like Oracle, SAP, SFDC, D365 etc. • Understanding of WebServices (SOAP, REST). • Understanding of Devops concepts (Azure DevOps preferred). • Experience with taking up initiatives and execute tasks with full ownership and deliver agreed upon deliverables in a timely manner. • Verbal, written, and interpersonal communication skills. Suggested Skills: • Object-Oriented Programming • Enterprise Platform • Business Applications LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $127,000 to $207,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. 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Insight Global is looking for a Senior DevOps and Infrastructure Engineer to work with one of our largest technology clients in the Bay Area. What you'll be doing · Support OpenStack Team Operations queue working within our Infrastructure and Cloud Operations Environments. · Support Cloud based operations, monitoring, troubleshooting and assisting triage and resolution of bugs, KPI investigations related to systems. · Work closely with world-class SRE, PaaS and Infrastructure engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch. · Solve sophisticated problems involving multi-site OpenStack deployments supporting products. · Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments. · Directly contribute to the overall quality of deployments and improve time to market next gen products. REQUIRED SKILLS AND EXPERIENCE -3+ experience with OpenStack services and their interactions, including nova, nova placement, Neutron, Glance, Cinder, and Ironic. -Thorough understanding of the PXE process, including host configuration (BIOS and network card), general network configurations such as VLANs, switch port settings, and cabling. -Ability to troubleshoot across different OpenStack applications, comprehend the OpenStack deployment process, and understand service dependencies and order of operations. -Proficiency in reading and writing Python code. -Expertise in supporting third-party services like MySQL, RabbitMQ, CEPH, HaProxy, and Keepalived. -Ability to use tools such as Ansible, Jenkins, and Elastic Search for successful system configuration and maintenance. Compensation $65/hr to $75/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

iMETALX, Inc. is a company that aims to create a future where space is accessible and sustainable for all. We provide in-space domain awareness and in-space servicing solutions for governments and businesses. iMETALX is looking for an engineer to join the team to work on cross-domain applications focusing on In-Space Servicing, Assembly, and Manufacturing (ISAM). This will span areas around spacecraft autonomy, such as world view, perception, and controls, as well as testing and deploying the software on real systems. Focus on Computer Vision is desired, exposure and work on RL and DNN, or Robotics is greatly desired as well. Within the scope of the above applications, being a strong software developer that can work to take prototype code to production quality. In addition, some expertise around Electrical Engineering will focus on the integration of the software stack on satellites and their requisite systems. Role Overview: We are seeking a highly skilled and versatile engineer with expertise spanning software development and robotics to contribute to cutting-edge projects at the intersection of machine learning, and embedded systems for In-Space Servicing, Assembly, and Manufacturing (ISAM). The ideal candidate will bring a strong background in software development, machine learning, and electrical engineering, coupled with hands-on experience in deploying and testing software and hardware systems in real-world scenarios. Examples include robotics, autonomous cars, drones, and other Size, Weight, and Power (SWAP) constrained systems. Key Responsibilities: Software Engineering: Develop and implement AI and machine learning models using tools such as PyTorch and TensorFlow. Design and optimize algorithms in areas like computer vision, deep learning, and reinforcement learning. Conduct software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing to validate performance and robustness. Prototype, test, and refine software solutions for deployment on edge compute devices and embedded systems. Integrate and deploy software on hardware systems such as FPGAs and other edge computing devices. System Integration and Testing: Collaborate on end-to-end system integration and ensure seamless deployment of software and hardware solutions. Design and execute testing protocols for both software and hardware components, identifying and resolving issues proactively. Work closely with multidisciplinary teams to iterate and improve prototypes. Preferred Qualifications and Experience: Experience in robotics or autonomous vehicle systems, including perception, controls, and system deployment. Deep knowledge of SW/HW integration for real-world applications, including edge computing and embedded solutions. Familiarity with robotic frameworks, autonomous vehicle platforms, or related technologies. Proficiency in programming languages such as Python and C++. Expertise in prototyping and deploying systems for high-reliability environments. Strong analytical skills and a track record of solving complex technical challenges. Skills and Tools: Machine Learning: PyTorch, TensorFlow, reinforcement learning. Testing: SW/HW testing, SIL/HIL methodologies. Robotics/Autonomy: World view, Perception, Control/Behavior What We're Looking For: An innovator who thrives in a collaborative, fast-paced environment and is eager to contribute to transformative projects in cutting-edge technology domains. If you're passionate about pushing the boundaries of AI, machine learning, and embedded systems, we'd love to hear from you.

Our client, a pioneer in the satellite communications industry, is renowned for its innovative solutions that enhance connectivity and technological integration across global markets. As part of their ongoing commitment to excellence and innovation, they are seeking an experienced Sr Systems Engineer to join their team. The Sr Systems Engineer plays a critical role in leading and contributing to the development, analysis, and management of satellite systems throughout their lifecycle, from initial design to post-launch operations. This Role Offers: Highly experienced leadership with an extensive technology background at large enterprises and successful start-up companies, that will be sure to enhance the customer journey. Financially stable company with low employee turnover. Agile and responsive team with an entrepreneurial mindset, backed by the resources of a global company. An opportunity to lead the development of cutting-edge satellite technologies in the growing space industry. Collaboration with top-tier engineering teams and exposure to advanced satellite design processes. Direct involvement in shaping the future of satellite systems and ensuring project success. Access to resources and training to expand expertise in satellite engineering and project management. A supportive, innovative, and multidisciplinary workplace culture. Focus: Provide technical expertise and systems engineering support for satellite development initiatives. Evaluate and provide feedback on vendor designs, ensuring compliance with technical and performance specifications. Conduct analysis of antenna patterns and assess payload performance metrics. Perform trade-off studies to determine optimal configurations for digital beamforming antenna systems. Analyze system capacity while considering power and thermal constraints. Collaborate with internal teams and external vendors to ensure seamless integration of satellite systems with other infrastructure. Support interdisciplinary teams with engineering insight to address complex system challenges. Execute additional tasks as required by project needs. Skill Set: Bachelor's degree in Electrical Engineering or a related field. Master's degree in Electrical Engineering with a focus on wireless communication is highly desirable. A minimum of 10 years of professional experience in satellite systems engineering, satellite design, or related disciplines. Strong communication skills, with the ability to convey technical information clearly to diverse audiences. Exceptional organizational skills with keen attention to detail and ability to prioritize tasks and manage time effectively. Adept at multitasking and meeting deadlines in a dynamic, fast-paced environment. High level of integrity, professionalism, and discretion. Proficiency in Microsoft Office tools. Familiarity with ERP systems like NetSuite is a plus. Expertise in satellite systems engineering and integration with ground networks. Experience with digital payload satellites and digital beamforming technologies. Deep understanding of the interdependencies between payload design and satellite power/thermal systems. Familiarity with LEO constellation programs and related engineering challenges. Experience with analytical tools such as MATLAB, Python, and Power BI. About Blue Signal: Blue Signal is a leading executive search firm, specializing in engineering recruitment. Our engineering recruiting team has expertise placing high-performing talent in areas such as electrical, mechanical, civil, and telecom engineering. Learn more at bit.ly/46IAFRJ

AI Deployment Engineer (Pre-sales to Post-sales) Compensation & Perks Salary: $150k - $190k base + meaningful equity + benefits Location: Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby) About the Company We're a Series B Voice AI startup that has raised $65 million from top-tier VCs including Emergence Capital, Y Combinator, and founders of major fintech and communications companies. We have a 40-person team and serve enterprise customers (incl. Fortune 500) by delivering the most friendly, helpful, and human-like AI phone agents in the world. Why This Role Exists Every customer is different - the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer's organization. What You'll Do Presales partner Jump on discovery calls, whiteboard integrations, and explain our unique features (and ability to drive value) when speaking with product and engineering leaders. You're working directly with an AE to sell our platform - and to scope an implementation timeline and plan. Own implementation start-to-finish Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has our signature tone and feels human. Coordinate stakeholders Engineers, product, operations, and anyone else who's involved with implementation-you'll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer's team to build excitement and demonstrate the progress you're driving. Expand the footprint By embedding yourself in the customer's organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of the company You are the customer's champion, a defacto extension of our founding team, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-have qualifications 3-7 years in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production Technical skills: Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together Track record: Relentless ownership-moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Communication: Clear communicator who can translate LLM quirks and the specifics of how our platform works to everyone on our customer's team (at the right level of complexity for your audience) Startup ready: Ready for the intensity of a fast-growing, early-stage startup-the work is hard, the pace is high. This is not a big tech job. You're joining us because you want to push yourself, you're ambitious, and you care about doing great work Location requirements: Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture Nice-to-haves Built side-projects or shipped production features with LLMs Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering outcomes and was customer facing Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you're flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply You'll thrive here if… You're smart, relentless, and love working with customers You're organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it's something you enjoy) You care about the craft and about our customers' customers - all our phone agents should sound truly human and have our signature tone - they should not sound like a corporate robot or like a phone tree Relentlessness is the most important quality If you think you're missing relevant experience but you're a fast learner who's excited for a new challenge - and you have the intangibles our team is looking for - please reach out. As long as you're resourceful and a fast learner (and you can prove it to our team) we would love to meet you.

San Francisco, California Fully Onsite $120,000 - $190,000 + equity + benefits About the Company This rapidly growing start up develops AI-powered voice agents that manage sales, appointment scheduling, and customer service calls. Their technology is designed to sound natural and operate 24/7, helping businesses save time and enhance customer interactions. Supporting multiple languages and industries, the company is quickly establishing itself as a leader in automated conversational solutions. About the Role As an AI Deployment Engineer, you'll lead the full customer journey-from initial setup to long-term success-by building and deploying custom conversational AI solutions. It's a fast-paced, hands-on role where you'll work closely with clients, move quickly, and help shape the product through real-world feedback and use. Role Responsibilities Own end-to-end customer deployments, from pre-sales to onboarding to long-term success, acting as the main point of contact throughout. Translate client needs into action by managing stakeholder relationships, educating users, and communicating feedback to engineering teams. Work hands-on with low-code tools, API integrations, and webhooks to build and implement solutions quickly and effectively. Strong execution, technical acumen, and experience scaling products in high-growth or applied AI environments. Key Requirements 3-7 years of professional experience, ideally in fast-paced start up environments; exceptions made for standout candidates Proven track record of deploying products to customers and driving implementation success Strong stakeholder management skills, with experience navigating cross-functional teams and external partners Background in a start up that has scaled from Series B to later stages or IPO Think you're a great fit? Please email ***************************** with the following information!: Current Resume (no more than 2-3 pages) Current location Timeline to start a new role Upcoming Availability for a 15-20 minute phone call

We've partnered with an industry-leading AI infrastructure tech firm as they grow their Engineering team. This is a high-impact, hybrid role at the intersection of engineering, product, and strategy. You'll work directly with AI researchers and human data teams to deliver world-class datasets for model training, evals, and RL workflows. What You'll Do: Partner with AI teams to define and deliver data strategies Build and manage scalable, high-quality human-in-the-loop data pipelines Write Python scripts for data processing, QA, and analytics Influence product and tooling improvements based on customer needs What You Bring: Master's or PhD in CS, Engineering, Math, or related field Strong Python skills and experience with data workflows Excellent communication and project management skills A passion for AI and solving real-world technical challenges Strong LLM experience. 💡 This is a rare opportunity to work at a fast-paced AI company-owning complex problems, moving fast, and driving real impact.

Set up x86 and System on Chip platforms for functional validation. Also involves - Setting up of thermal solutions, debugger, oscilloscopes, and power measurement equipment. Configuring multi-boot OS with required SW, applications, tools, frameworks. Independently manage a group of systems to ensure stability and uninterrupted operation. Understand basic HW platform features - Chipset compatibility, Memory slots, expansion slots, connectivity ports, BIOS/UEFI settings. Basic scripting that includes modifying existing automation scripts where applicable Basic understanding of different thermal solutions (e.g., air cooling, liquid cooling) and monitor temperature performance regularly - includes regular maintenance. Ability to configure and manage client applications on different OS environments. Ability to understand Client-Server workflow process and ability to analyze job logs, client logs, and test logs to identify and troubleshoot issues effectively. Strong troubleshooting skills to diagnose and resolve hardware, OS, and software-related issues. Measure power and collect logs using DAQ/DMM Requirements: Diploma/B.E. with 3-12 years of experience in system level HW testing Familiarity with assembly and testing X86/GPU based systems Familiarity in executing tests under Windows and Linux environment Basic knowledge on scripting and MS Excel. Understanding of test and measurement equipment such as oscilloscope, DAQ and DMM Experience in silicon testing environment is preferred. Excellent organizational and documentation skills. Employee Benefits: At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits: • Four options of medical Insurance • Dental and Vision Insurance • 401k Contributions • Critical Illness Insurance • Voluntary Permanent Life Insurance • Accident Insurance • Other Employee Perks About LanceSoft LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch. EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time. Want to read more about LanceSoft? Click here to visit our website - *****************

At Glacier, we are taking on one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're hoping to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources. Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity. These two products together are helping to divert tons of recyclables (literally!) from landfills every day. About us: Our founders come from Facebook engineering and Bain consulting. We're backed by top-tier VCs with extensive technical and industry expertise. We have a fleet in production and a robust pipeline of upcoming deployments. About the role: As a Solutions Engineer at Glacier, you'll be the technical backbone of our sales process and an essential bridge between customers, our sales team, and our hardware and software engineering teams. You'll lead technical discovery, design tailored integration plans, and support our customers from first conversation through installation. Your work will shape successful installs and ensure our systems are built to deliver real value in real-world MRF environments. You'll report directly to our CEO (who is also our acting Head of Sales), while receiving hands-on coaching from key engineering and business leaders across the team to support your cross-functional growth. You should be comfortable traveling up to 50% of the time-primarily within the US, with occasional international travel. Key responsibilities: Pre-Sales Technical Scoping: Partner closely with Sales to assess customer needs and propose viable robotics and AI deployments aligning with their facility layout and operational goals, helping our customers say ‘yes' to even technically complex installs. You won't just assess feasibility-you'll help make projects work. Facility Assessments & Integration Planning: Conduct on-site visits or remote assessments to evaluate conveyor configurations, material flows, and layout constraints. Collaborate with our customers to create tailored integration plans to ensure fit, function, and value. Install Readiness & Cross-Team Coordination: Collaborate with internal engineering and deployment teams to ensure installations go smoothly-identifying tradeoffs, aligning on requirements, and preparing operator-ready documentation. Product Feedback Loop: Surface insights from the field and customer interactions to inform future product iterations and deployment best practices. What You Bring: 3+ years in technical roles such as field engineering, solutions engineering, systems integration, or industrial automation-ideally in hardware, robotics, or manufacturing environments 2+ years of experience in sales or other customer-facing roles, with a track record of building trust, understanding stakeholder needs, and supporting technical conversations throughout the sales process Experience scoping and supporting complex hardware installs and evaluating tradeoffs in customer-facing settings, including facility walkthroughs and layout assessments Strong technical communication skills, with the ability to explain mechanical, electrical, or data systems clearly to both technical and non-technical stakeholders Strong client-facing skills, with the ability to translate customer needs into deployment plans that drive deal momentum, and a “yes, if…” mindset when approaching complex sales conversations Hands-on familiarity with industrial settings (e.g., MRFs, manufacturing lines, or automation-heavy facilities), with the confidence to navigate noisy, fast-paced environments and speak directly with operators, engineers, and leadership Nice to have Experience with CAD tools, layout design, or facility planning Familiarity with robotics systems, computer vision, or AI-powered automation Background in MRF operations, recycling infrastructure, or similar industries Why Join Us? Mission-Driven Work - Be part of a company dedicated to sustainability and ending waste. Customer-Facing Impact - Be the technical expert guiding customers from first conversation to successful install, with a front-row seat to real-world impact. Fast-Paced Growth - Help scale and optimize a cutting-edge robotics fleet in the recycling industry. If you're excited about designing thoughtful technical solutions, building trust with operators, and making recycling smarter, we'd love to hear from you! Compensation: The OTE (on-target earnings) cash compensation range for this role is $110,000-$150,000, which includes a base salary in the range of $100,000-$130,000 and a performance-based bonus. In addition to cash compensation, Glacier also offers competitive equity and benefits. Final compensation will depend on several individualized factors, including job-related skills, experience level, and interview performance.

Founding team of a new high-impact business group Function: Full Stack Engineering | Customer-Facing | 0→1 Product Builds We're helping a leading development tools platform with a triple digit year-over-year revenue growth rate hire founding engineers for a newly created, high-impact team. This group will build products from scratch in collaboration with their largest customers - solving complex problems and unlocking hundreds of millions in revenue You'll work directly with a senior engineering leader who was among the company's earliest employees and previously led platform engineering. Responsibilities: Collaborate closely with strategic customers to understand high-value, API-centric problems Design and build full-stack applications, integrations, and tools from the ground up Rapidly prototype, validate, and iterate based on user feedback Own the full technical stack - infrastructure, backend, frontend Influence product direction by sharing insights from the field Help define and scale the Forward Deployed Engineering function Ideal Profile: 2 to 5 years of professional experience as a full-stack or backend engineer Prior experience in customer-facing roles such as Solutions Architect, Technical Consultant or client facing Software engineers Strong generalist skills (Node.js, Python, React/Next.js, or similar) Experience building and deploying cloud-based applications (AWS/GCP/Azure) Comfortable navigating ambiguity and working in fast-paced, 0→1 environments Bonus: Background in developer tools, APIs, or interest in AI/automation Location: San Francisco, California This is a rare opportunity to work like a startup founder - solving critical problems with the scale and backing of an established platform. Apply if Interested!

Network Engineer - Restaurant POS Systems Job Type: Full-time Department: Technical Operations / IT Infrastructure *PLEASE NOTE: This position is not eligible for visa sponsorships. Candidates must be authorized to work in the United States without current or future need for sponsorship. About the Role We're seeking a skilled and proactive Network Engineer to support the deployment, configuration, and ongoing management of network infrastructure for restaurant point-of-sale (POS) environments. You'll play a critical role in ensuring secure, reliable, and scalable connectivity for our clients' systems, often in complex real-world conditions. Key Responsibilities - Design and implement wired and wireless networks for new restaurant locations. - Configure and manage routers, firewalls, managed switches, access points, and other network hardware. - Deploy and support VLANs, static IP schemes, and isolated POS networks. - Troubleshoot connectivity issues remotely and on-site (as required). - Collaborate with the onboarding and support teams to ensure seamless POS installations. - Maintain detailed documentation of network setups, configurations, and change logs. - Ensure network setups align with PCI compliance and internal security standards. Requirements - 2+ years of hands-on experience in network engineering preferably within the restaurant, hospitality, or retail POS industry. - Strong understanding of: TCP/IP, DHCP, NAT, VLANs, and network isolation; Firewall configuration and security principles; Ubiquiti UniFi, TP-Link Omada, MikroTik, or similar platforms. - Ability to perform remote diagnostics using network monitoring and access tools. - Experience configuring and managing commercial-grade Wi-Fi and mesh networks. - Willingness to travel occasionally for on-site installations or escalations. - Strong communication and documentation skills. Preferred Qualifications - Certifications: CompTIA Network+, CCNA, or equivalent. - Experience with cloud-managed networks (e.g., Meraki, UniFi Cloud Controller). - Familiarity with restaurant POS systems and their network requirements (e.g., payment terminal routing, KDS, printers). What We Offer - Competitive salary - Flexible work environment - Opportunities for career growth in a fast-scaling company - A collaborative, mission-driven team that values innovation and reliability

About the Opportunity An early-stage startup is seeking a Founding Engineer to lead the design, build, and maintenance of its cloud platform. This foundational role offers the chance to architect and develop all cloud infrastructure and systems from the ground up. Key Responsibilities Design and implement core infrastructure components, including service meshes, traffic management, and observability tools. Develop and manage applications within cloud environments using container technologies. Utilize infrastructure-as-code tools to automate deployment and management processes. Oversee operating system issues, storage solutions, networking configurations, and high-availability clusters. Build and support CI/CD platforms, automate infrastructure needs, and maintain systems through patching, upgrades, and monitoring. Scale infrastructure on distributed systems to meet growing demands. What We're Looking For Strong experience in platform and infrastructure engineering, with a background in DevOps practices. 6+ years of relevant experience in the field. Proficiency in programming languages such as Python, Rust, or C++. Experience deploying and managing container orchestration platforms. Knowledge of cloud infrastructure and networking principles. Nice to Have (Not Required) Familiarity with modern data storage formats and data engineering practices. Experience with cloud data warehouses and related technologies. Why Join? Opportunity to be a core part of an early-stage team with significant ownership and impact. Work on technically challenging projects in a fast-paced environment. Influence architecture and product decisions from the outset. Competitive salary with meaningful equity.

Our client, a pioneer in the satellite communications industry, is renowned for its innovative solutions that enhance connectivity and technological integration across global markets. As part of their ongoing commitment to excellence and innovation, they are seeking an experienced Sr Systems Engineer to join their team. The Sr Systems Engineer plays a critical role in leading and contributing to the development, analysis, and management of satellite systems throughout their lifecycle, from initial design to post-launch operations. This Role Offers: Highly experienced leadership with an extensive technology background at large enterprises and successful start-up companies, that will be sure to enhance the customer journey. Financially stable company with low employee turnover. Agile and responsive team with an entrepreneurial mindset, backed by the resources of a global company. An opportunity to lead the development of cutting-edge satellite technologies in the growing space industry. Collaboration with top-tier engineering teams and exposure to advanced satellite design processes. Direct involvement in shaping the future of satellite systems and ensuring project success. Access to resources and training to expand expertise in satellite engineering and project management. A supportive, innovative, and multidisciplinary workplace culture. Focus: Provide technical expertise and systems engineering support for satellite development initiatives. Evaluate and provide feedback on vendor designs, ensuring compliance with technical and performance specifications. Conduct analysis of antenna patterns and assess payload performance metrics. Perform trade-off studies to determine optimal configurations for digital beamforming antenna systems. Analyze system capacity while considering power and thermal constraints. Collaborate with internal teams and external vendors to ensure seamless integration of satellite systems with other infrastructure. Support interdisciplinary teams with engineering insight to address complex system challenges. Execute additional tasks as required by project needs. Skill Set: Bachelor's degree in Electrical Engineering or a related field. Master's degree in Electrical Engineering with a focus on wireless communication is highly desirable. A minimum of 10 years of professional experience in satellite systems engineering, satellite design, or related disciplines. Strong communication skills, with the ability to convey technical information clearly to diverse audiences. Exceptional organizational skills with keen attention to detail and ability to prioritize tasks and manage time effectively. Adept at multitasking and meeting deadlines in a dynamic, fast-paced environment. High level of integrity, professionalism, and discretion. Proficiency in Microsoft Office tools. Familiarity with ERP systems like NetSuite is a plus. Expertise in satellite systems engineering and integration with ground networks. Experience with digital payload satellites and digital beamforming technologies. Deep understanding of the interdependencies between payload design and satellite power/thermal systems. Familiarity with LEO constellation programs and related engineering challenges. Experience with analytical tools such as MATLAB, Python, and Power BI. About Blue Signal: Blue Signal is a leading executive search firm, specializing in engineering recruitment. Our engineering recruiting team has expertise placing high-performing talent in areas such as electrical, mechanical, civil, and telecom engineering. Learn more at bit.ly/46IAFRJ

We've partnered with an industry-leading AI infrastructure tech firm as they grow their Engineering team. This is a high-impact, hybrid role at the intersection of engineering, product, and strategy. You'll work directly with AI researchers and human data teams to deliver world-class datasets for model training, evals, and RL workflows. What You'll Do: Partner with AI teams to define and deliver data strategies Build and manage scalable, high-quality human-in-the-loop data pipelines Write Python scripts for data processing, QA, and analytics Influence product and tooling improvements based on customer needs What You Bring: Master's or PhD in CS, Engineering, Math, or related field Strong Python skills and experience with data workflows Excellent communication and project management skills A passion for AI and solving real-world technical challenges Strong LLM experience. 💡 This is a rare opportunity to work at a fast-paced AI company-owning complex problems, moving fast, and driving real impact.

Onsite- San Francisco, CA $160,000-190,000 plus bonus and equity Ready to Build the Future of AI Phone Agents? Join a high-growth team delivering the most human-like AI voice experiences on the market, where technical depth meets customer obsession. About the Company: This fast-moving Series B startup has raised $65 million from top-tier investors including Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. With a 40-person team and customers like Hertz and Better.com, my client is redefining voice automation by creating AI agents that sound natural, helpful, and delightfully human. About the Role: My client is seeking a Solutions Engineer to own implementation end-to-end, from presales technical scoping to deploying AI agents in production, to expanding customer value across entire organizations. This is a hands-on, high-impact role for someone who thrives at the intersection of engineering, product, and customer success. Key Responsibilities: Act as a Presales Partner: Join discovery calls, whiteboard technical solutions, and help product and engineering leaders understand the platform's unique value. Own End-to-End Implementation: Design and build conversational pathways, wire up APIs, and test until the AI agent sounds indistinguishably human. Coordinate Across Teams: Rally engineers, ops, and product stakeholders to hit timelines and deliver real outcomes. Move Fast & Iterate: Ship a strong v1 agent quickly, learn from real calls, patch edge cases, and continuously improve performance. Drive Expansion: Embed deeply in the customer's team, identify new use cases, and work with sales to drive adoption and upsell. Be the Face of the Company: Champion customer success through deep relationships, onsite visits, training sessions, and extraordinary hospitality. Must-Have Skills & Experience: 3-7 years in solutions engineering, startup product development, or technical customer-facing roles. Proficient in reading/writing RESTful APIs and JSON; able to write Python or JavaScript scripts for quick integration tasks. A proven track record of relentless ownership, whether personal or professional. Exceptional communication skills, able to translate complex AI systems into plain language for stakeholders at all levels. Excited for the intensity and fast pace of an early-stage startup; this is not a big tech job. Nice-to-Haves: Experience shipping side projects or production features using LLMs. Background as a founder, PM, CSM, or any high-ownership, customer-facing role. Prior experience managing the full customer lifecycle from presales to post-sales. Why This Role Stands Out: Real Ownership: From day one, you'll lead customer success from technical scoping to long-term adoption. Massive Impact: Shape how AI agents interact with millions of people in real-world conversations. Tight-Knit, High-Caliber Team: Join an ambitious and talented team that moves fast and supports each other. In-Person Collaboration: Spend your first month in the company's beautiful San Francisco office (Jackson Square), with continued in-person and customer site presence encouraged. Great Perks: Competitive salary, equity, and the chance to help define the future of voice AI. Relentlessness is more important than a perfect resume. If you're resourceful, learn quickly, and want to work on something that matters, we'd love to hear from you.

Job Title: Network/ IT Engineer Employment Type: 6-month contract with possibility of getting extended About the Role We are seeking a Network Engineer to support Operational Technology (OT) infrastructure across a dynamic manufacturing site. This role will focus on ensuring secure, efficient, and compliant network and system operations that align with IT infrastructure and GxP manufacturing standards. The ideal candidate will bring a strong technical foundation in networking, cybersecurity, and systems administration with the ability to execute tasks independently and collaborate across teams. Key Responsibilities Manage and maintain network infrastructure including routing, switching, subnetting, DNS, DHCP, FTP, and VPNs Support and troubleshoot firewalls (Cisco, Palo Alto, Fortinet) and apply appropriate access controls Implement and manage security zones, NAT, IDS/IPS, and other cybersecurity technologies Maintain and harden OS environments across Windows, Linux, and MacOS platforms Update and document network topologies and infrastructure diagrams Support infrastructure projects and system patching as needed Collaborate with site teams to execute IT tasks in GxP-regulated areas and ensure IT compliance Provide on-site support in server rooms across various campus buildings Use scripting tools (e.g., Python, Powershell, Ansible) to automate and streamline tasks Required Qualifications 5+ years of experience in an OT, IT, or Network Security role Experience in a Pharmaceutical Industry Understanding of GxP, GMP, or pharmaceutical manufacturing processes Strong knowledge of networking fundamentals (TCP/IP, OSI model, switching, routing) Hands-on experience with firewall configurations and access control Experience securing and managing multiple operating systems Familiarity with infrastructure documentation and network topology diagrams Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Clearance Requirement: U.S. Citizenship required Experience Level: Senior (7+ years) iMETALX, Inc. is a company that aims to create a future where space is accessible and sustainable for all. We provide space domain awareness (SDA) and in-space servicing solutions for governments and businesses. iMETALX is looking for an engineer to join the team to work on cross-domain applications focusing on In-Space Servicing, Assembly, and Manufacturing (ISAM) such as on-orbit refueling, repositioning, and repair. This will span areas around spacecraft autonomy, such as world view, perception, and controls, as well as testing and deploying the software on real systems. iMETALX is looking for a platform engineer to bring on the team to support product development for various on-orbit demonstrations on our roadmap. Job Description: We are seeking a highly experienced Platform Systems Engineer to lead the design, development, and management of robust software platforms supporting high-performance computing and AI-enabled systems. This role requires deep technical knowledge in embedded systems, platform scalability, GPU integration, and infrastructure performance-across both edge devices and on-premises cloud environments. As a senior engineer, you'll work cross-functionally with software and hardware teams to deliver resilient, scalable platforms that meet demanding power, performance, and security requirements. Key Responsibilities Design, implement, and manage software platforms on Windows and Ubuntu using C++, Python, and deep learning frameworks (e.g., TensorFlow, PyTorch). Collaborate closely with hardware and software developers to ensure seamless integration, with attention to GPU compatibility, power requirements, and resource constraints. Architect and optimize platforms for scalability, efficiency, and network interfacing, supporting high-throughput and real-time performance. Support and enhance both developer and user experience by refining platform strategies, tooling, and build systems. Monitor system performance, perform root-cause analysis, and proactively troubleshoot platform-level issues. Drive CI/CD improvements and support the automation of routine tasks, especially for pre-deployment validation and platform testing. Ensure data protection, platform security, and vulnerability mitigation across systems. Implement and maintain containerization strategies (e.g., Docker), supporting modular and portable deployment. Design and maintain build frameworks that support multi-platform compilation and hardware abstraction layers. Work with architectures such as x86, mingw, ARM, and integrate across edge devices and on-prem/cloud-hosted systems. Optimize memory usage and structures to ensure deterministic and efficient behavior in constrained, real-time environments, and error handling. Implement support for network protocols and platform-level messaging between distributed components. Document processes, platform configurations, and operational workflows for reproducibility and team alignment. Stay current with emerging technologies and best practices in embedded systems, platform development, and devops. Qualifications U.S. Citizenship is required due to the nature of the work and customers. 7+ years of experience in embedded systems, platform engineering, or infrastructure development. Strong expertise with C++, Python, and working in Linux (Ubuntu) and Windows environments. Hands-on experience with deep learning frameworks and supporting GPU-accelerated applications. Deep understanding of containerization, build systems, and CI/CD pipelines. Experience with edge computing, site-hosted cloud architectures, and real-time system constraints. Familiarity with network protocols, memory management, and system-level performance tuning. Experience with x86, mingw, ARM and other hardware architectures common to embedded and platform development. Ability to own cross-functional development efforts and influence platform direction with minimal oversight. Strong documentation skills and a commitment to operational excellence. Preferred Qualifications: Experience with secure systems design or DoD/NASA platform standards Background in high-assurance, real-time, or safety-critical environments Contributions to open-source platform tools or embedded software frameworks Why Join Us? You'll be at the forefront of deploying intelligent systems in challenging environments-from space to the edge-while helping define the future of space AI platforms. We offer a highly collaborative team, cutting-edge hardware, and an environment where innovation is expected and rewarded.

At Glacier, we are taking on one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're hoping to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources. Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity. These two products together are helping to divert tons of recyclables (literally!) from landfills every day. About us: Our founders come from Facebook engineering and Bain consulting. We're backed by top-tier VCs with extensive technical and industry expertise. We have a fleet in production and a robust pipeline of upcoming deployments. About the role: As a Solutions Engineer at Glacier, you'll be the technical backbone of our sales process and an essential bridge between customers, our sales team, and our hardware and software engineering teams. You'll lead technical discovery, design tailored integration plans, and support our customers from first conversation through installation. Your work will shape successful installs and ensure our systems are built to deliver real value in real-world MRF environments. You'll report directly to our CEO (who is also our acting Head of Sales), while receiving hands-on coaching from key engineering and business leaders across the team to support your cross-functional growth. You should be comfortable traveling up to 50% of the time-primarily within the US, with occasional international travel. Key responsibilities: Pre-Sales Technical Scoping: Partner closely with Sales to assess customer needs and propose viable robotics and AI deployments aligning with their facility layout and operational goals, helping our customers say ‘yes' to even technically complex installs. You won't just assess feasibility-you'll help make projects work. Facility Assessments & Integration Planning: Conduct on-site visits or remote assessments to evaluate conveyor configurations, material flows, and layout constraints. Collaborate with our customers to create tailored integration plans to ensure fit, function, and value. Install Readiness & Cross-Team Coordination: Collaborate with internal engineering and deployment teams to ensure installations go smoothly-identifying tradeoffs, aligning on requirements, and preparing operator-ready documentation. Product Feedback Loop: Surface insights from the field and customer interactions to inform future product iterations and deployment best practices. What You Bring: 3+ years in technical roles such as field engineering, solutions engineering, systems integration, or industrial automation-ideally in hardware, robotics, or manufacturing environments 2+ years of experience in sales or other customer-facing roles, with a track record of building trust, understanding stakeholder needs, and supporting technical conversations throughout the sales process Experience scoping and supporting complex hardware installs and evaluating tradeoffs in customer-facing settings, including facility walkthroughs and layout assessments Strong technical communication skills, with the ability to explain mechanical, electrical, or data systems clearly to both technical and non-technical stakeholders Strong client-facing skills, with the ability to translate customer needs into deployment plans that drive deal momentum, and a “yes, if…” mindset when approaching complex sales conversations Hands-on familiarity with industrial settings (e.g., MRFs, manufacturing lines, or automation-heavy facilities), with the confidence to navigate noisy, fast-paced environments and speak directly with operators, engineers, and leadership Nice to have Experience with CAD tools, layout design, or facility planning Familiarity with robotics systems, computer vision, or AI-powered automation Background in MRF operations, recycling infrastructure, or similar industries Why Join Us? Mission-Driven Work - Be part of a company dedicated to sustainability and ending waste. Customer-Facing Impact - Be the technical expert guiding customers from first conversation to successful install, with a front-row seat to real-world impact. Fast-Paced Growth - Help scale and optimize a cutting-edge robotics fleet in the recycling industry. If you're excited about designing thoughtful technical solutions, building trust with operators, and making recycling smarter, we'd love to hear from you! Compensation: The OTE (on-target earnings) cash compensation range for this role is $110,000-$150,000, which includes a base salary in the range of $100,000-$130,000 and a performance-based bonus. In addition to cash compensation, Glacier also offers competitive equity and benefits. Final compensation will depend on several individualized factors, including job-related skills, experience level, and interview performance.