Infrastructure Engineer Jobs in California

Do you have experience in building scalable, cloud-based systems from the ground up, then this is the role for you! As part of the Infrastructure Engineering team, you will design large-scale backend systems, implement scalable infrastructure to support large-scale Generative AI (GenAI) workloads, optimize systems for performance, and drive the development of GenAI infrastructure. Required Qualifications: Education Experience: Bachelor's degree in computer science, Computer Engineering, or relevant technical field, or equivalent practical experience. Professional Experience: A proven track record as a technical leader in developing scalable, maintainable, and high-performance cloud-native infrastructure. Hands-on involvement in the architecture, development, and deployment of reliable infrastructure. 8+ years of experience leading, mentoring, or managing software engineers. Core Technical Skills: Practical Expertise in one or more cloud platforms like AWS, Azure, or GCP including scaling with Docker and Kubernetes. Deep understanding of network architecture, protocols, and security best practices Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation Experience with containerization technologies like Docker, Kubernetes Familiarity with scripting languages like Python, Bash Experience with service mesh (Linkerd, Istio) and API gateways (Kong, Traefik) to enhance microservices deployment and management. Ability to tackle complex problems, make data-driven decisions, and apply best practices in secure software development. Preferred Qualifications: 10+ years of hands-on experience building and maintaining high performance scalable infrastructure Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in production environments. Proficiency in orchestration frameworks like Flyte, MLFlow or similar technologies for automating complex workflows

The position is responsible for analyzing, resolving, and reporting infrastructure issues and managing the proactive, operational, and reactive posture for the enterprise. The ideal candidate will coordinate business request, provide technical guidance, and is responsible for establishing the maintenance direction, standards, life-cycle management, design and implementation approaches for server and network Infrastructure. Job Responsibilities: Develop and provide Microsoft solutions and Windows servers architecture. Ensure Windows servers are installed and configured according to specifications. Maintain and configure Cisco routers/switches, firewall, VPN, VLANs. Monitor, diagnose, and resolve LAN/WAN performance and health issues. Maintain and configure all wireless network. Participate in Network Operations planning. Provide Network and Window Server documentation, standards, and requirements. Monitor Service Provider's end-to-end support of infrastructure services. Manage and report Service Provider overall performance & SLAs and quality in accordance with KPI standard. Ensure patch assessment and deployment are performed timely and in accordance with service level. Provide support in accordance with business units hours of operation and calendar schedule. Ensure Service Request tickets and Incident Management are addressed within KPI. Identify changes and adhere to controls in lieu to operation improvements. Basis Requirements: Bachelor's degree or equivalent in the field of business, computers, information systems or related degree. 7+ years relevant work experience in related functional role. Demonstrated ability to support infrastructure services hardware, operating system, software, and network platforms. Demonstrated experience with configuration and management of high-availability clusters. Demonstrated ability to manage virtualization hypervisor console configuration. Extensive experience with O/S server configuration and other hardware and system software changes. Demonstrated experience with network administration. Understand TCP/IP and LAN/WAN networking principles for wired and wireless technologies. Knowledge of Cisco and Arista hardware and network operating system configuration (IOS, IOS-XE, etc.) Knowledge of routing protocols including EIGRP, OSPF, and BGP Knowledge of other network protocols including STP, ARP, HSRP, etc. Basic understanding of security technologies and concepts including firewalls, IPS, and VPNs Experience in managing sourcing vendors, deliverables and service delivery outcomes. Experience in managing SLA/service delivery metrics. Strong problem solving and analytical skills. Excellent organizational and planning skills. Good written and verbal communication skills. Essential to work on a schedule that corresponds with Canadian working days and adheres to Eastern Standard Time (EST) business hours. Bilingual in English/Korean is a plus. Perks and Benefits: While working as a Balance Staffing Associate, you will be able to take advantage of weekly pay, optional medical benefits, paid sick leave, and state-specific retirement saving options in accordance with state or local law. Apply now and one of our recruiters will reach out to you! Balance Staffing is proud to be an equal-opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status, or any other characteristic protected by federal or state law.

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. 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Samson Rose has been exclusively engaged with an outdoor robotics client to help them find a Computer Vision Engineer in San Francisco. We are working directly with the recently appointed CTO to hire the best-suited talent for their needs. This person will focus on sensor calibration, point cloud processing, and terrain analysis to enable precise environmental perception and navigation. You will work closely with cross-disciplinary team members to ensure their robots operate effectively in dynamic construction environments. A bit about the company: Over 100 commercially deployed robots. The company is at breakeven with revenue - huge and rare in the current climate. They are currently raising and are about to close a Series A that will allow them to scale. They have three types of robots that are either sold or leased. An innovative company with real-world deployment experience and a need for practical, scalable, impactful solutions. Engaged customers who provide feedback. The person they are looking for should have: Proficient in programming languages: C++, Python. Experience with point cloud processing and 3D reconstruction. Expertise in sensor calibration methods (intrinsic/extrinsic calibration of cameras, LiDAR, and IMUs). Strong knowledge of computer vision libraries (OpenCV, PCL etc). Understanding of machine learning models for vision tasks (classification, segmentation). Big pluses for: Experience with terrain analysis and segmentation techniques. Familiarity with ROS (Robot Operating System) and real-time processing pipelines. Experience with SLAM (Simultaneous Localization and Mapping). Familiarity with deploying vision models on edge computing hardware. If this role is of interest to you, please apply for it with your current resume. We will reach out to schedule an initial call.

Glacier is a Series A startup based in San Francisco that builds robots and image data collection devices to improve recycling facilities in the following ways: a robot that identifies and sorts materials inside recycling facilities an analytics system that tracks recyclables and reports metrics to key stakeholders in the industry. These technologies are already helping to divert tons of recyclables (literally!) from landfills every day. We're looking for a talented machine learning engineer with 4+ years of experience developing object detection and segmentation models to help us further improve these game-changing technologies. About us: We're a small team based in SF and as an early ML team member you'll have a significant role in shaping Glacier's future. 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: You will own the full ML model lifecycle-from data ingestion to production deployment and monitoring-across cloud, local, and on-prem infrastructure. You will be responsible for training computer vision models, building infrastructure for large-scale inference and data analysis, and driving new projects to use machine learning to reduce waste. Your responsibilities: Drive the performance of our computer vision models. That includes: building ML infrastructure, fine tuning our model and training process, improving our data collection, and ensuring high quality, diverse training data. Develop, train, evaluate, and deploy ML models that directly support customer-facing products. Maintain a high bar for model performance monitoring, alerting, and retraining pipelines to ensure measurable business impact. Build automation and experimentation into our full ML lifecycle, enabling us to deploy systems and create impact at scale. Collaborate cross-functionally with machine learning engineers, software engineers, hardware engineers, product/program managers, and the sales team to solve real customer problems. Partner with our Head of ML on long-term ML strategy, and help define and scope high-impact R&D initiatives. Help shape the long-term product roadmap - we've got big ideas for the future of waste-ending technology, and we're excited to bring in yours too. What You Bring: 4+ years experience developing machine learning models in a deep learning framework like Tensorflow/Keras or Pytorch. 2+ years of experience in Computer vision model development with object detectors - mandatory Experience with building machine learning infrastructure (training pipelines, hyperparameter tuning, experiment tracking, etc). Strong expertise in Python and hands-on experience in SQL databases. Experience with Linux environments for development and deployment Proficiency with the SciPy ecosystem (numpy, pandas, matplotlib) and distributed computing in frameworks such as Ray. Experience deploying ML models in production and monitoring their performance over time. Demonstrated ability to translate ML work into business impact. Ability to work from our San Francisco office (SOMA neighborhood) twice a week. Why Join Us? Mission-Driven Work - Be part of a company dedicated to sustainability and ending waste. Cross-Functional Impact - Work cross-functionally with an expert, mission-driven team where your technical decisions shape both the product and the company. Backed to Succeed - Our founders bring experience from Facebook and Bain, and we're supported by top-tier investors with deep technical and industry expertise. Compensation: The total cash compensation range for this role is $150,000 - $190,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. The final compensation for this role will depend on many individualized factors, including job-related skills and knowledge, experience level, interview performance, and other factors.

Design and develop integrated solutions for TEE (Trusted Execution Environment) products with strong linux kernel virtualization skills. Adapt systems to specific business scenarios and optimize performance. Ensure successful product deployment, support business growth, and drive continuous product iteration. Responsibilities: Conduct technical R&D at linux kernel or virtualization system layer, researching integration solutions for Intel TDX, or AMD SEV, with Nvidia GPU TEE. Develop secure, controllable, and high-performance confidential AI computing systems, meeting requirements for stability, security, and performance. Qualifications: Master's degree in Computer Science, Cryptography, Information Security, or Systems Engineering, with 3+ years of experience. Deep understanding of the Linux kernel and strong experience with KVM/QEMU projects. Proficiency in Linux kernel C, Python, and Go; experience with Rust/Java is a plus. Contributions to open-source communities are a plus. Familiarity with one of hardware TEE infrastructure technologies (Intel TDX, AMD SEV, Nvidia GPU TEE, ARM CCA) is a strong plus. Strong sense of responsibility, passion for technology, self-driven, with excellent problem-solving, teamwork, and communication skills.

System Engineer - Robotics & Mesh Networking Salary: $150,000 - $170,000 Type: Permanent, Full-Time Travel: Occasional (a few trips per year) Are you a hands-on systems engineer who thrives at the intersection of wireless tech, robotics, and real-world experimentation? We're working with a fast-growing leader in the unmanned systems space looking to hire two System Engineers to join their cutting-edge technical team. This company is scaling fast across the defense and autonomous vehicle sectors. You'll be working directly with radios, sensors, cameras, and controllers - designing, testing, and deploying real-world solutions that push the boundaries of connectivity in robotics and UAVs. What You'll Be Doing: Leading technical projects to deploy and test mesh radio systems in robotics Designing and running experiments on wireless performance and system integration Collaborating with engineering, sales, and product teams to bring innovations to market Troubleshooting complex issues across hardware, networking, and RF systems Publishing technical findings through demos, white papers, or internal documentation You Should Bring: 5+ years in systems or solutions engineering across robotics, defence, or wireless tech Deep knowledge of wireless comms (802.11, TCP/IP, RF propagation, mesh networks) Experience with Linux-based embedded systems (OpenWrt experience a strong plus) Hands-on integration with hardware - radios, flight controllers, sensors, cameras A mindset for experimentation and solving real-world deployment challenges Why Join? Privately owned and profitable - 50% YoY growth Employees receive 15% annual profit share (no stock options, just real returns) High-impact, high-autonomy environment Be part of a team shaping the future of autonomous communications This is a highly technical, field-driven role - ideal for engineers who build, test, and iterate. If you want to help shape the systems powering next-gen unmanned platforms, this is your chance. Apply now or reach out to Ciara Holmes at EVONA for more details.

7+ years of relevant experience working on distributed systems or BS in Computer Science with 5+ years of relevant experience Relevant development experience with OO languages (such as Python, Java, C++, etc.) In depth understanding of CI/CD, developer workflows and best practices In depth understanding of Git, standard branching & release process Automated build orchestration tools such as Jenkins, Hudson, CircleCI Experience in Kubernetes preferred Motivated and willing to learn and solve challenging problems Strong analytical skills Experience supporting a 24x7 software service

Principal Optical Systems Engineer Location: San Jose, CA | Full-Time We are seeking a Principal Optical Systems Engineer to lead the system test qualification, validation, and field deployment of next-generation coherent optical communication technologies. This role is pivotal in ensuring the performance and reliability of coherent pluggable transceivers. The ideal candidate has a strong background in optical system testing, customer trials, Python automation, and troubleshooting complex system issues. You will collaborate cross-functionally with design, hardware, firmware, and software teams to drive innovation and ensure product excellence. 🔧 Key Responsibilities System Test & Validation Lead system-level testing of coherent pluggable transceivers and optical engines Develop and execute test plans for OSNR/ROSNR, optical performance, and fiber impairments Perform stress testing, stability/repeatability analysis, and firmware validation Automate test procedures and data analysis using Python Customer Trials & Field Support Plan, execute, and document customer product trials (lab + field) Analyze requirements, coordinate logistics, and manage execution Deliver trial reports and present findings to internal/external teams Escalation & Troubleshooting Lead the resolution of complex customer escalations Collaborate cross-functionally to debug and fix system/network issues Create technical documentation, FAQs, and troubleshooting guides Product Development Collaboration Contribute to development of coherent pluggable technology Review and provide input on PRDs, SRDs, and design documentation ✅ Required Skills & Experience 10+ years in optical system testing, validation, and troubleshooting Deep knowledge of coherent optical transceivers and fiber impairments (CD, PMD, OSNR) Familiarity with OIF/MSA standards and pluggable optics Hands-on experience with optical test equipment: OSA, OTDR, power meters, CD/PMD analyzers, traffic generators Python scripting for automation and test data analysis Proven success leading customer trials and escalation resolutions Excellent communication and presentation skills-comfortable working with customers and exec stakeholders

This position will be responsible to develop the technology for Hardware Microarchitecture/RTL design for the new CPU core. Responsibilities will also include: Creation of HW Microarchitectural specification and RTL development thru to tape-out, including quality in all aspects (performance, power, area, timing & functional convergence. Working with BE designers and verification engineers to converge on both functional and timing requirements. Reviewing the test plans. Collaborate with architects to meet the product requirements and performance targets which includes corelating performance models and RTL Behavioral traits that we are looking for: Strong verbal and written communication skills, and clarity in technical communications. Self-starter with the ability to work independently, and an aptitude to learn new things quickly. Ability to work in a dynamic and team-oriented environment. Qualifications: Minimum skills: MS or PhD in EE or Computer Engineering with 5+ years of experience. Expertise in out of order CPU architecture, microarchitecture. Proficient in Logic Design, System Verilog and debugging. Good understanding of overall system level architecture and bus interface protocols. Ability to solve architectural/timing issues with right tradeoffs between power, performance, and area. Knowledge in Chip bring up and post silicon debug. Preferred skills and experience: Strong CPU microarchitecture knowledge especially on core micro architecture that includes fetch, branch prediction, renaming, out of order execution, Vector unit load/store unit, coherency protocols and memory subsystem, system interfaces, interrupt architecture, Debug architecture (ARM, x86, RISCV), bus interface protocols (CHI, AXI, APB).

Support the infrastructure behind one of the fastest growing AI coding assistants, a product built by a team of top engineers and researchers with over $250 million in funding and deep experience in scaling software systems. Here you will work closely with AI researchers and developers to ensure the platform is secure, highly available, and ready to scale. Your focus will be on building and maintaining the systems that power real-world AI applications, helping bring research into production environments. You will be at the core of a small and talented team, collaborating across research and engineering to design systems that can handle high-performance computing and complex distributed workloads. In this role you will work hands-on with cloud infrastructure, containers, and orchestration tools. Experience with Python, Go, Rust, or C++ will be valuable, along with a strong background in building scalable, fault-tolerant systems. The starting base salary for this position will range from $225,000 to $300,00, with equity and benefits package offered separately. Apply now with no up-to-date resume required.

We are a leading infrastructure consultancy specializing in the planning, design, and delivery of major transportation projects. Our multidisciplinary teams work collaboratively to develop innovative, sustainable solutions that enhance mobility, safety, and efficiency for millions of passengers. We take pride in employing top-tier talent dedicated to advancing rail transit systems and setting industry standards for engineering excellence. Position Summary: The Systems Engineer will be a part of a team of systems engineers, integration specialists, and technical consultants in the design, implementation, and verification of complex rail transit systems. This role ensures that all systems engineering activities align with project requirements, industry standards, and best practices. The Systems Engineer will support systems integration across multiple disciplines-including train control, signaling, communications, power, rolling stock, track, and station systems-while maintaining a focus on safety, reliability, and lifecycle cost efficiency. The ideal candidate possesses extensive experience with systems engineering principles, strong technical capabilities, and a proven track record managing the end-to-end delivery of large-scale transportation projects. Key Responsibilities: Define and implement systems engineering methodologies, standards, and best practices for complex rail transit infrastructure projects. Support system architecture development, requirements management, interface control, and integration strategies. Ensure seamless interoperability among all subsystems (e.g., signaling, traction power, communications, rolling stock interfaces, SCADA, and platform systems). Provide technical support to ensure compliance with industry regulations (e.g., IEEE, IEC, CENELEC standards) and relevant codes. Validate that system designs meet specified performance criteria, safety requirements, and environmental considerations. Guide the execution of systems verification and validation activities, including factory acceptance tests, site integration tests, and system acceptance tests. Project Management & Coordination: Collaborate closely with project managers, clients, contractors, and other consultants to develop project plans, schedules, and budgets that effectively integrate systems engineering deliverables. Monitor project progress, identify potential risks or scope changes, and implement corrective actions to maintain project quality, cost, and schedule adherence. Prepare and present technical documentation, progress reports, and decision support materials to internal and external stakeholders. Innovation & Continuous Improvement: Stay current with emerging technologies, engineering tools, standards, and methodologies in the transit and railway industry. Champion continuous improvement efforts to optimize design processes, enhance system performance, and reduce lifecycle costs. Qualifications & Experience: Education: Bachelor's degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, Civil Engineering, or a related technical field. Minimum of 5 years of progressive experience in systems engineering, systems integration, or related engineering roles in large-scale transportation or infrastructure projects. Proven experience in managing multidisciplinary engineering teams and delivering complex transit rail projects. Demonstrated track record with requirements engineering, interface definition, subsystem integration, and system validation for rail systems. Deep understanding of railway systems and their interdependencies, including signaling, communications, traction power, rolling stock, and wayside equipment. Familiarity with systems engineering standards, configuration management practices, and relevant industry regulations. Proficient with requirements management tools model-based systems engineering approaches, and engineering analysis software. Exceptional leadership, communication, and interpersonal skills. Strong problem-solving capabilities, strategic thinking, and the ability to navigate complex stakeholder environments. Excellent organizational skills, attention to detail, and aptitude for working under strict deadlines.

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.

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.

About Us: Vanguard International Semiconductor (VIS) is the world's 8th largest pure-play specialty semiconductor foundry, based in Taiwan. VIS Micro, Inc. is our California-based office, and is responsible for sales and account support, and business development in North America. Our semiconductor technologies include the following: logic CMOS, mixed-signal, BCD, BiCMOS, High-Voltage SOI, UHV (ultra-high voltage), Magnetic Sensors, MEMS Sensors (Gyro, G-Sensor, Pressure, Ultrasonic), Discrete power and RF, and Display Driver ICs. We have expertise in Logic, Analog, Mixed-Signal, Display Driver, Power Discrete and Sensor technologies, in consumer, commercial, display, mobile, industrial telecommunications, automotive, medical and high-reliability applications, supporting world-wide fabless, fablite and IDM customers. Our office is conveniently located in Campbell, California, near Highway 17 and 280. To discover more, visit our VIS Careers Page Key Responsibilities : Bridge customers' support needs with internal support teams to provide timely and accurate answers, solutions Promote the company's technologies and be proactive with up-selling and cross-selling opportunities. Support and participate in Business Development related activities, as needed. Support revenue growth in North America, covering all key semiconductor applications and market trends (existing and emerging). Support NA customer technology related activities include: Technology introduction and customer request match/recommendation PDK, design manual support with customer Customer design support - from start to PG Check and compare competitor's technology and feedback to RD for an improvement Education Qualification & Essential Experiences: BS in Engineering, Physics, or related field; Advanced degrees preferable. 10+ years of technical sales, business development, or power semiconductor technology related job function. Familiarity with semiconductor processes, devices; circuit design and CAD design environments, with in-depth experience in at least one of these areas. Proficiency with standard office software, including Microsoft Word, Excel, Powerpoint. Ability and willingness to travel (mostly, but not entirely, within the US) ~25% of the time. Preferred Skills: Familiarity with Process Design Kits (PDK), technology files, device and process specifications Familiarity with Analog, Power Management, Mixed-Signal, MEMS, Automotive product design and applications. Personal Attributes: Legally authorized to work in the US. Demonstrated ability to manage multiple projects and work independently. Bilingual in English and Mandarin, with fluency in English presentations. Ability to work and perform effectively in a fast-paced environment

Role: Network Engineer/IP Deployment · Deploy, configure, and support a large-scale production and corporate network and server infrastructure in data centers, Point of Presence (POP), edge, backbone, datacenter, and content delivery network (CDN) infrastructure. · Provide onsite network support and expertise on local data center campus and remote support for POP sites while working with local vendor support staff · Schedule and perform network maintenance, repair, and upgrade tasks as needed while limiting the impact on the production network · Calculate and document equipment power requirements and work with Engineering, Facilities Operations, and/or collocation vendors to meet these requirements. · Work closely with Network Engineering, Logistics, and equipment vendors as new equipment and technologies are integrated into the production network. · Work with network provisioning engineers to turn up new circuits and engage and escalate with vendors to troubleshoot out-of-service or faulty circuits. · Queue Management for tasks and incidents, participate in ongoing DC/POP deployment projects · Use internal tools and scripts to configure, monitor, and repair servers and network equipment · Develop internal documentation and conduct training as needed or appropriate · Proactively contribute to documentation, automation and processes as they evolve · Follow, improve, and implement data center and POP best practices · Participate in on call activities and follow escalation process to support the infrastructure 24/7 Skills/Experience: · CCNP/JNCIP preferable · Experience in new PoP or Datacenter builds. · Understanding of outside plant construction requirements with fiber and/or copper or coax experience preferred. · Solid understanding of fiber-optic technology including cable types, connector types, optic types, patch panels, and optical transport technologies. · Rack and stack; Installation of new racks and devices. · Experience in device installation and testing, software/firmware upgrade, re-bootstrapping and decommission. · Experience in network optimization (re-stripes, migrations, upgrades, swaps, capacity upgrades). · Knowledge of DCN and experience in DCN installation, migrations, and upgrades. · Experience in break fix support · Knowledge of Juniper, Ciena, Infinera, Cisco, Arista and ZPE systems (Network Deployment) · Strong attention to detail with excellent time management and organization skills. · Excellent experience in maintaining documentation. · Demonstrated ability to analyze complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure. · Programming and scripting capabilities are strongly desired. · Excellent communication skills. · Ability to work within a global team in a fast-paced and dynamic environment with limited supervision

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.