Information Technology Consultant Jobs in Scotts Valley, CA

Must Haves: Providing guidance and validation of software solutions that will allow some of the largest companies in the world to do more business online We're looking at a junior candidate here with 2+ years experience in a range of technologies, mostly mobile app development Some experience in mobile app development on both iOS and Android. Ability to use tools like Git, Atlassian Jira and Confluence, Android Studio and X-Code 1-2 years with Objective-C, Java, Javascript Debugging iOS and Android apps Unit testing/code reviews/CI/source control Customer support experience Clear and articulate communicator of technical issues Great customer facing skills, both phone and email Team player who works effectively with others Detail-oriented and desire to learn/research/understand Ability to work with geographically dispersed teams Ability to accept criticism and provide feedback (including code reviews) Nice to Have: Experience with declarative UI frameworks like Swift-UI, Jetpack Compose, Flutter, and React. Experience with online-fraud issues Debugging website issues, checking implementation, and checking network/debug/console browser debugging tabs Day-to-Day: A client of Insight Global is seeking a Support Engineer for Device Intelligence Mobile SDK to join their international team that includes experts in device identification, device intelligence, fraud detection, real time systems, Software as a Service (SaaS) applications, machine learning, and data analytics. We are an Agile engineering team using concepts such as Scrum, Continuous Integration, self-organizing teams, and Continuous Improvement. The Customer Support Team is an international team that utilizes their SaaS, passive services monitoring and enterprise software experience to enhance our technical customer relationships. We are looking for an enthusiastic and fast learning Support Engineer to engage with both our Customer Support and Engineering teams to provide a highly technical customer support experience for our customers. Our “Device Intelligence” team develops and maintains an iPhone and Android SDK that our customers integrate into their mobile device applications to provide device identification and fraud detection capabilities in real time. The candidate should have some experience with developing apps on these platforms to be able to assist customers with queries and problems they encounter with the integration. While this is primarily a customer support role, it will also require significant engineering aspects for activities like developing sample apps, or sample code, debugging customer issues, understanding the SDK code, and applying that knowledge to solving customer issues. Contract/Contract-to-Hire Roles: Compensation: $__50__/hr to $__60___/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.

Hello I hope you're doing well! My name is Raj and I'm a Technical recruiter with Avanciers Inc. We are currently hiring for Server Lab Technician to support one of our Implementation partners based in Santa Clara, CA- Onsite This is a full-time, onsite role with exciting opportunities for professional growth in a collaborative, fast-paced tech environment. If this role aligns with your experience and career goals, I'd love to connect further. Please reply with your updated resume or a good time to chat. Type Full-time Role- Server Lab Technician Location - Santa Clara, CA- Onsite Swing Shift- (3:00 PM PST to 11:30 PM PST) Job Description: What you'll be doing: ● Working swing and weekend shifts to support extended factory operations hours ● Support engineers working on GPU and Artificial Intelligence System Products in Lab and manufacturing facilities. ● System-Level Testing, Perform system-level bring-up/ debugging, validation, and data collection. ● You'll handle shipping and receiving, unpacking and packing of systems ● Build, help debug, and repair CPU and GPU platforms ● Install, configure test stations, devices under test, monitor and support users ● Setup test programs, run test suites, collect and analyze results ● Write scripts in C, Python, or Shell to assist HW bring-up, including modifying & checking register status ● Work closely with Engineers, Managers, external suppliers and contract manufacturing staff. What we need to see: ● 4 + years of technical education ● 5 years related experience as a hardware technician in Lab or Manufacturing environment. ● Bachelors/Associate degree in Electronics or equivalent field ● Knowledge of basic electronics, digital and analog theory is required ● Hands-on production, manufacturing, or RMA experience is a huge plus ● Experience with failure analysis and troubleshooting skills of simple circuitry to component level is required ● Experience with prototype tracking systems ● Ability to configure/setup computers and test equipment ● Experience with failure analysis and troubleshooting skills of simple circuitry to component level is required ● Able to perform soldering rework, including fine pitch SMT components ● Experienced with power and hand tools, including drills and wire crimping tools for pins, connectors, lugs, etc ● Familiar with Document Control and CAD tools for viewing schematics, BOMs, ECOs etc ● Able to work with Linux, Windows and GSuite or Microsoft Office, Adobe Acrobat or similar backoffice tools ● Familiarity with Linux command line and knowledge of Shell scripting. ● Ability to develop, review and modify Python and Shell scripts to enhance test coverage. ● Self-motivated individual who is capable of handling multiple tasks at a time. ● Service spirit with strong communication skills

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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About the Role We are actively seeking a talented and motivated individual to join our team as Helpdesk Engineer. This is an internal user support position. The chosen candidate will also play a role in maintaining and optimizing our IT infrastructure. If you are a dynamic IT professional seeking a challenging and rewarding role that combines Tier 3 helpdesk support and systems engineering, and you are excited about contributing to Sycomp's global success, we invite you to apply. Responsibilities Infrastructure Management: Maintain Sycomp's internal environment, including Entra ID (Azure Active Directory), on-premises Active Directory and supporting infrastructure servers and appliances. Implement and manage Azure Virtual Desktop Infrastructure (VDI) solutions. Administer and troubleshoot Microsoft Intune and JAMF Pro MDM environments. Administer VPN for secure remote access. Experience with Cisco Meraki line of products and Palo Alto Firewalls. Helpdesk Support: Remotely serves as the primary point of contact for escalated technical issues, delivering expert troubleshooting and resolution for our global on-premises and remote users. Support of a world-wide team of Microsoft Windows (10 & 11) and MacOS laptop users as well as mobile devices, both Android and iOS. Efficiently manage helpdesk ticket queues, ensuring timely and effective issue resolution. Collaborate with Tier 1 and Tier 2 support teams to enhance overall support efficiency. Security and Compliance: Participate in team efforts to secure the IT environment, ensuring compliance with industry standards and best practices. Participate in migrating applications to Single Sign-On (SSO). Conduct regular security audits and implement necessary measures to address vulnerabilities in our Microsoft cloud and on-premises environments. Participate in maintaining our threat detection/protection environment - email, endpoint, and edge. Automation and Scripting: Leverage PowerShell scripting to automate processes, including onboarding/offboarding procedures. Implement automation solutions to streamline routine maintenance tasks. Global Helpdesk Management: Work with helpdesk engineers globally, coordinating support activities across the US, EMEA and APAC regions. Ensure consistent and effective support services worldwide. This will require flexible availability. Project Guidance: Provide guidance and leadership with the team to execute new IT projects, ensuring alignment with organizational goals. Collaborate with cross-functional teams to deliver projects on time and within budget. Licensing and Compliance: Help track and manage software licenses, ensuring compliance with vendor agreements. Proactively address licensing needs and assist with solutions to optimize costs. Qualifications Proven experience in a senior helpdesk support role. Proven experience with end-user support, both in-office and remote users. Comprehensive experience with management and support of everything Microsoft 365 including Exchange, SharePoint, and Teams. Experience with Entra ID (Azure Active Directory), Single Sign-On (SSO), and Azure VDI. Experience onboarding and migrating applications to SSO. Experience with VPN and network security. Demonstrated knowledge in PowerShell scripting. Demonstrated knowledge and experience with device threat management solutions. CrowdStrike, SentinelOne, Microsoft Defender for Endpoint, etc. Demonstrated knowledge and experience of cloud-based email threat management solutions. Proofpoint, Mimecast, Check Point, etc. Demonstrated ability to technically lead IT projects. Strong problem-solving skills and ability to handle escalated technical issues. Excellent communication and interpersonal skills.

Founding Customer-Facing AI Engineer Compensation: $200K - $310K base + bonus + equity Visa Sponsorship Available A fast-moving AI company is looking for a Founding Forward Deployed Engineer to join a small, dynamic team helping enterprise clients implement intelligent voice agents in high-impact environments. This hybrid role blends engineering, product, and customer success-and is perfect for someone who thrives in both technical deep-dives and customer-facing problem-solving. If you're energized by fast iteration, direct customer collaboration, and seeing your solutions make an immediate difference in the real world, this is your kind of role. What You'll Be Doing: Work hand-in-hand with enterprise clients to deploy voice-based AI solutions in production Embed with customer teams to navigate complex systems, deliver custom integrations, and ensure successful adoption Lead technical workshops, run demos, and provide hands-on support throughout onboarding and deployment Act as a feedback loop between customer needs and internal product/engineering teams to guide roadmap priorities Troubleshoot roadblocks, improve documentation, and build scalable tooling to accelerate implementation Travel as needed to customer locations, deliver expert support, and ensure seamless rollouts Collaborate across departments to ensure the company is delivering measurable results for customers What You Bring: Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field 1+ year of experience in a technical role (software engineering, systems integration, or similar) Strong communication and interpersonal skills-you can clearly explain complex topics to both technical and non-technical audiences Comfortable working across both engineering and sales functions; highly collaborative and results-driven Fast-moving and adaptable-able to manage multiple priorities and pivot quickly as needs evolve Passionate about learning and eager to grow with a mission-driven team Perks & Benefits: 100% employer-paid medical, dental, and vision insurance Free daily meals (breakfast, lunch, dinner) and unlimited snacks Gym access and commuter reimbursement Internet and mobile phone expenses covered Visa and green card sponsorship This is a unique opportunity to join a venture-backed startup at the ground floor and help shape how voice AI transforms enterprise workflows. If you're someone who thrives at the intersection of engineering and real-world impact, you'll find both challenge and purpose here.

Why Join Inworld Inworld is the leading provider of AI technology for real-time interactive experiences, with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft's M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. Inworld provides the market's best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development - from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was named among LinkedIn's Top Startups of 2024 in the USA Your Impact Help shape the future of AI by developing and executing on the vision for AI-driven video games and interactive experiences. In this unique role as a Forward Deployed Engineer, you will work closely with high profile partners to define, deploy and launch groundbreaking immersive experiences. This is an opportunity to build 0 to 1 product experiences at the intersection of many of today's most transformative technologies. Work alongside top AI/ML engineering and product leaders to define requirements, collaborate with partners, solve technical challenges and launch our products. Requirements BA/BS degree or higher in Computer Science, Engineering or Game Development 3+ years of Unity and/or Unreal Engine development experience 3+ years of technical experience as a game developer Exceptional product intuition, problem-solving skills, and attention to detail Experience working with strategic partners and presenting to executives Passionate about learning and applying cutting edge AI research Understanding and experience with LLM prompt engineering Hacker mindset and ability to think outside the box Experience in programming AI, low-level networking, and audio is a big plus Responsibilities Work closely with our Product + Partnerships teams to ensure that critical partner projects are successful Solve deeply technical challenges related to AI character interactions and behaviors Work closely with C-level executives and industry leaders to understand business and product needs and translate them into clear product requirements for our platform and characters Translate partners' feedback and requests into product requirements and roadmap, driving prioritization and pre- and post-launch execution Develop vision and prototype/pilot versions of next generation immersive experiences Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week). The US base salary range for this full-time position is $150,000 - $240,000. In addition to base pay, total compensation includes bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.

About the role Glass Imaging is looking for a Machine Learning (ML) Infrastructure Engineer to re-design and develop the backbone of our ML training and evaluation ecosystem. As an experienced professional with a track record of success architecting solutions in this area, you will have the freedom to reshape our platform from the ground up-crafting everything from GPU allocation and data management to experiment tracking and evaluation pipelines. You'll be working closely with our ML researchers and engineers to understand their needs, streamline their workflows, and ensure that our platform can scale with the team. You will help create automated repeatable solutions, reducing manual overheads. While we prioritize clean, maintainable code, we operate in a fast-moving research environment where adaptability is key-this role offers plenty of opportunity to explore new ideas, refine solutions, and continuously improve our infrastructure. If you're excited by the prospect of taking ownership of a system that will serve as the core of our ML efforts, we'd love to talk. Right now, we're looking for someone eager to tackle these challenges hands-on, but as our team grows, this role will have the opportunity to take on more leadership responsibility, guiding the continued development of our ML platform and helping shape the team around it. Responsibilities Design & build a scalable, efficient Python infrastructure for training and evaluating ML models. Improve automation of ML train/test infrastructure. E.g. Inference tools that log, cache, and visually compare model outputs, provide code-free methods to run models on new datasets. Develop and manage systems for GPU resource allocation, dataset management, experiment tracking, and evaluation pipelines. Integrate job scheduling (e.g. SLURM). Implement automated dataset versioning and validation. Build tools for reporting and visualizing model metrics and performance. Improve developer efficiency by creating tools and workflows that streamline ML model iteration and testing. Add and improve performance profiling. Ensure scalability and reliability of the ML platform as the company grows. Collaborate closely with ML researchers and engineers to understand their workflows and translate their needs into robust infrastructure. Introduce best practices for code organization, version control, and reproducibility in ML experiments. Encourage modularity, reusability and portability. Required Skills Strong software engineering / software architect level skills Experience designing and building infrastructure for ML training workflows Familiarity with performance profiling and optimization for ML training Excellence in Python, Linux scripting, and typical ML frameworks (e.g., PyTorch, TensorFlow). Experience with GPU management, distributed computing, and optimizing training pipelines Passion for turning messy, unstructured codebases into clean, scalable platforms Seeing the big picture in terms of code repo structure, job orchestration, task pipelining, and on-prem ML Ops for efficient resource usage Preferred Skills Proficiency in C++ Experience with customization/design of ML experiment tracking tools (e.g., Weights & Biases, ClearML, etc.); creation / customization of web GUIs and dashboards or Mac OS apps Knowledge of database and storage solutions for ML datasets Experience managing on site linux servers, NAS arrays, with large scale datasets Knowledge of cloud computing (e.g. AWS, GCP, etc.) and containerization (Docker, Kubernetes, etc.) Knowledge in image restoration and image quality assessment Location & Travel We are primarily hiring for positions in our SF Bay Area, CA (primarily in-person) office but may consider other arrangements for outstanding circumstances. Compensation & Benefits Competitive pay Stock options Health/Dental/Vision Insurance 401(k) Visa Sponsorship About GLASS Imaging Our mission is to bring professional-level image quality to everyone by making cutting-edge image processing accessible to all devices-from smartphones and XR devices to infrastructure maintenance and security applications. We believe that AI-driven processing can extract every ounce of image quality from any camera, making capturing better pictures with any camera easier for everyone. But we aren't just enhancing how images are processed; we're revolutionizing how they're captured, redefining the core principles of camera design and reimagining how lenses, sensors, and AI-driven processing work together. We're fundamentally changing how cameras operate to unlock unprecedented levels of performance and image quality. Founded by former Apple engineers behind Portrait Mode and other groundbreaking iPhone camera features, we're a team of passionate and experienced engineers pushing the boundaries of photography. Join us in shaping the future of camera technology! Equal Opportunity & Diversity Statement Glass Imaging is committed to fostering a diverse and inclusive workplace. We celebrate differences and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, veteran status, or any other protected status. We encourage individuals from all backgrounds to apply.

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.

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

Marqo is a product discovery platform that optimizes search conversion using click-stream, purchase, and event data - creating a personalized experience that knows what your customers are looking for, better than they do. We're building the next generation of AI-native search infrastructure, helping top ecommerce brands convert searches into sales. We are backed by top global VCs and we're scaling fast. Role Overview: As a Solutions Engineer at Marqo, you'll be the technical champion during the pre-sales cycle-partnering with Account Executives to demonstrate the value of Marqo's platform to enterprise customers. You'll lead technical conversations, craft compelling demos, and guide prospects through smooth, low-lift integrations. This role is ideal for someone who thrives at the intersection of customer engagement, technical depth, and creative problem-solving. What You'll Do: Lead technical discovery and solution design for prospects and pilot customers Translate complex customer requirements into clear, scalable Marqo implementations Deliver compelling demos and proofs-of-concept that showcase the power of Marqo Partner with sales to influence enterprise buying decisions through technical credibility Support lightweight integration work (e.g., assisting with pixel deployment, API usage, or SDKs) Collaborate with Product and Engineering to channel customer feedback Create technical content such as guides, solution diagrams, and example queries What We're Looking For: 2-5 years in a Sales/Solutions Engineering, Pre-sales, or related technical customer-facing role Strong grasp of APIs, modern web architectures, and basic frontend/backend development Experience in search, e-commerce, ML/AI, or SaaS platforms a big plus Comfortable engaging with technical teams (developers, architects) and business stakeholders (product managers, execs) Clear communicator who can simplify complex ideas and build trust with enterprise customers Python, JavaScript, or prior experience working with search engines (e.g., Elasticsearch, Solr, Algolia) Why Marqo: Cutting-edge AI tech built for real-world scale and impact Work with global customers and high-impact use cases Fast-paced, supportive team environment where your ideas shape the product

Job Title: Power Profiling Engineer || US Job Type: Full Time Experience Level: 5-10 Years We are seeking a skilled Power Profiling Engineer to join our team. The ideal candidate will have strong experience working with hardware platforms, power testing, and automation using Python scripting. You will be responsible for setting up lab environments, conducting detailed power measurements, and collaborating with cross-functional teams to optimize system performance. A good understanding of ASIC architecture and behavior is essential for success in this role. Key Responsibilities: Perform power profiling and analysis across multiple hardware platforms. Set up and maintain lab environments, including hardware, instrumentation, and software tools. Develop and execute test plans for power measurement and validation. Create Python-based scripts and automation frameworks to streamline testing and data collection. Analyze power data, generate detailed reports, and present findings to engineering teams. Collaborate closely with ASIC, system architecture, validation, and software teams to identify power optimization opportunities. Troubleshoot hardware and software issues encountered during power profiling and testing. Maintain thorough documentation of test setups, procedures, and results. Required Skills and Qualifications: Platform Knowledge: Familiarity with embedded systems, mobile platforms, SoC (System-on-Chip) environments, or related hardware. Testing Expertise: Experience in executing structured power and performance testing workflows. Python Scripting: Strong proficiency in Python for automation, data analysis, and testing. Lab Environment Experience: Hands-on experience with setting up, maintaining, and troubleshooting lab hardware and equipment. ASIC Understanding: Basic to intermediate knowledge of ASIC design concepts, power domains, and system architecture. Preferred Qualifications: Experience with power measurement tools such as Monsoon, Power Monitor, or similar. Familiarity with data visualization tools for interpreting power and performance results. Prior experience with validation or silicon bring-up activities. Knowledge of low-power design techniques and power management frameworks.

Job Title: Systems Administrator Duration: 12+ Months **** This resource will need to be flexible working at both our Fremont and Livermore locations **** The Operational Technology Systems Administrator will support the technology, security and process guidance for Lam's labs and cleanrooms. The focus of this role is to help end users in the Lab environment and provide effective IT/OT systems to meet business requirements. They will manage the oversight of the engineering infrastructure (security controls, applications, network services, computer systems, file storage services, IoT, Azure Cloud, etc), and define, execute, and monitor overall delivery, reliability, and performance of the infrastructure and services which directly impact the lab's success. QUALIFICATIONS: 5-7+ years of experience supporting an enterprise heterogeneous 5-7+ computing environment in areas of specialty Excellent communication skills that facilitate productivity and collaboration among BU customers, GIS, and other Lam support organizations, and outside IT vendors Prefer working experience with Semiconductor/high tech/research industries Working experience in a clean room is a strong plus Operating System\Platform Support 2 - 4+ years of hands-on experience installing and configuring Microsoft Windows Servers, Windows 10, 7, XP, and legacy NT devices, and Unix / Linux computers Network connectivity Administration. 5+ years of hands-on experience managing connectivity infrastructure (including remote) and services. Experience with end-to-end connectivity troubleshooting and resolving end-user connectivity issues

About the job Adamas Knight is exclusively partnering with an early-stage AI startup that has already hit six-figure ARR and recently closed an oversubscribed ~$4M seed round from top-tier investors. Now, they're expanding their core team in San Francisco and Europe-bringing on exceptional talent to join a group of ex-OpenAI and Scale AI talent, with deep technical roots from leading AI labs at Oxford, Cambridge, and ETH Zurich. The Role As a Forward Deployed Engineer, you'll play a key role in deploying, architecting and prototyping a next-generation product from the ground up. This is a one-of-a-kind opportunity to take full ownership of designing and refining AI-driven solutions while integrating them with existing API and systems. You'll move fast, deploy on day one, and tackle complex challenges while collaborating directly with clients and customers. You might be a fit if… You have a strong academic record in a technical field, ideally Computer Science. You enjoy architecting tailored solutions. You thrive in a fast-paced, high-impact environment. You take charge and bring ideas to life-whether as a founding engineer or CTO. If this sounds like you, please apply! At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.

Title: AI Deployment Engineer 📍 San Francisco HQ (Strong in-office culture) - 5 days a week onsite ✈️ Frequent travel to client sites (nationwide) Our client is helping companies unlock the power of Large Language Models by turning ideas into production-ready AI systems-fast. As an AI Deployment Engineer, you'll sit at the beating heart of our client relationships, guiding teams from the initial idea to a fully deployed solution. You'll be a trusted technical partner to account executives and a hands-on builder for our clients, transforming ambiguity into clean, scalable AI deployments. This is not a behind-the-scenes role. You'll be in the room where it happens-on discovery calls, in whiteboard sessions, and onsite with clients-helping architect, implement, and explain AI-powered workflows that change the way businesses operate. If you're excited by messy problems, love talking to customers, and can wire up APIs with one hand while sketching systems diagrams with the other, this might be your dream job. Responsibilities: Partner with Sales and Customer Success teams to support the entire customer journey-from presales discovery through full post-sales implementation. Lead technical discovery calls with customers to uncover their pain points and explore AI use cases. Design high-level architecture and integration pathways, then own the implementation from start to finish. Write lightweight code (Python, JS) to connect APIs, automate workflows, and deploy LLM solutions. Translate complex LLM behavior and edge cases into clear, actionable insights for both technical and non-technical audiences. Travel frequently to work onsite with clients and ensure hands-on, successful delivery. Act as a key voice in evolving how we deploy AI-your feedback will shape our platform, playbooks, and product direction. Qualifications (Must-Have): 3-7 years of experience in solutions engineering, product-minded software engineering, startup founding, or any role where you've taken something from zero to production with a customer in the loop . Strong understanding of REST APIs, JSON, and the ability to quickly prototype with Python. Comfort with ambiguity-you know how to make progress without perfect specs or ideal environments. Clear and confident communicator-you can tailor your technical explanations to any audience. Comfortable operating in a fast-paced, early-stage startup-you're ambitious, gritty, and obsessed with doing great work. Bonus Points For: Experience deploying or integrating LLMs or other AI/ML systems. Familiarity with enterprise environments and integration constraints (SAML, SOC2, etc). Startup or consultancy background with strong client exposure. Prior technical sales or sales engineering experience. Benefits: Competitive salary + equity at a high-growth startup Full medical, dental, and vision coverage Frequent travel and client-facing opportunities All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to offer sponsorship for this role at this time.

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

System Power Engineer The main function of a system power engineer is to research, design, develop, test high-density, industry-leading wearable electronics. The candidate will work with emerging technologies in a fast-paced team. Job Responsibilities: Initiate and drive project plan, including creating new designs and modifications of existing designs. Drive product prototypes, working models or theoretical models constructed with computer simulation. Design and/or review system power architecture. Model and characterize power for a wide selection of new technologies the team is investigating. Write detailed functional specifications and design flow/tradeoff. Support new technology introduction. Act as a subject matter expert to engineering staff and consult specifications to evaluate power requirements of the overall system. Provide training and support to system integrators, product owners and users. Direct technicians, engineering designers or other technical support personnel as needed. Candidates will be evaluated based on their deliverables in hardware design and prototype builds, as well as documentation and communications with cross-functional teams. Skills: Good EE fundamentals in power and analog domain. In depth knowledge of power converter topologies, system architecture and characterization. Solid hands-on experience in lab equipment, such as oscillating scope, differential probes. Ability to drive projects with high ambiguity, multiple paths, and fuzzy future to clarity. Experience in consumer electronics and working with vendors/contract manufactures is a plus. Understanding of battery, thermal, and system integration is a plus. Understanding of wireless charging technology is a plus. Experience in developing automated tests and validation is a plus. Experience in power modeling in consumer technology is a strong plus. Education/Experience: Bachelor's degree in engineering required.

Principal Engineer (Wireless Location Algorithm)- role for one of our clients, a wireless services company, this is a full time role located in Belmont, CA. They've developed a platform that can locate devices in real time using wireless signals - no GPS needed. That means it works indoors, underground, or anywhere GPS fails. The role will be all about signal processing and advanced algorithms. It's a small, sharp team where your work directly shapes the tech. If you're someone who enjoys solving hard signal problems, this would hit the mark! Qualifications: PhD or Masters in Electrical Engineer Expertise in the characteristics and nuances of key wireless technologies used for positioning, primarily in WiFi Technology Strong understanding of wireless systems and protocols (IEEE 802.11 standards) Strong background in communication theory and digital signal processing (DSP): Understanding concepts like modulation, coding, channel estimation, filtering, and signal detection Understanding of TDoA (Time Difference of Arrival) and related location techniques. Python and NumPy Knowledge of RF hardware Responsibilities: Creating innovative algorithms for wireless positioning, often using techniques like trilateration, triangulation, sensor fusion (combining data from different sensors like Wi-Fi, Bluetooth, UWB, GPS, IMUs), and probabilistic methods (e.g., particle filters). Build custom test fixtures to benchmark system and components Building and using computer models (often in MATLAB, Python, or C++) to simulate wireless environments and test the performance of their algorithms under various conditions Prototype improvements to existing location estimation techniques and adapt them to new industry standards Analyzing and resolving issues related to location accuracy and system performance in complex wireless environments

Responsibilities In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. About the team TikTok video system is a world-leading video platform that provides multimedia storage, delivery, transcoding services. As part of the USDS, the Video Platform team is responsible for building the next generation video processing platform which provides excellent experiences for billions of users around the world. The USDS Video Platform team is seeking an experienced Technical Support Engineer to help us continue improving TikTok's video system. As a technical expert of the TikTok video system, you will be working closely with the product R&D team and SRE team to promote continuous optimization of products, tools, and processes. If you are passionate about customer satisfaction, upholding high service quality, problem solving, and are prepared for exciting challenges, we would like you to be on our team. Responsibilities - Resolve customers' product technical issues, assist the frontend team, efficiently address customer problems, and improve the technical support processes. - Collaborate with developers and solve the problems encountered by developers during integration with video services as well as the quality issues in the production service process. - Lead team incident management, identify and escalate critical issues promptly, coordinate efforts to mitigate losses in the production systems, and follow up on post-incident reviews and optimization measures. - Plan customer business inspection mechanisms and monitoring processes to enhance service quality sensitivity and address customer needs. - Have overall awareness, help establish a Quality Service (QS) evaluation system, improve the efficiency of problem handling, and effectively promote the resolution of quality and efficiency problems in the research and development process. - Be responsible for building technical and operational knowledge bases, assist in service tool development, conduct training to empower the customer service team, and improve overall technical service efficiency. - Empower the frontend business and support teams by enhancing their understanding of products and solutions. Qualifications Minimum Qualifications - Bachelor's degree or higher in computer science or related fields - Familiarity with public cloud, audio and video, network-related cloud products, systems, platforms, and application architecture and principles. - Strong business understanding, problem analysis, and cross-team communication skills, capable of handling complex technical and collaboration challenges. - Strong communication and coordination skills, proficiency in documentation, with a good sense of teamwork and collaboration. Preferred Qualifications - 2+ years of project management experience and background in cloud computing and technical support are preferred. - Good knowledge of networking fundamentals and protocols (eg. TCP/IP, HTTP/HTTPS, etc.) - Development and programming experience is preferred. - Familiar with audio & video multimedia protocol, CDN distribution acceleration, RTC and other technologies. - Experience in real time video streaming systems is a big plus. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support. Job Information [For Pay Transparency] Compensation Description (annually) The base salary range for this position in the selected city is $93480 - $201600 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.

Marqo is a product discovery platform that optimizes search conversion using click-stream, purchase, and event data - creating a personalized experience that knows what your customers are looking for, better than they do. We're building the next generation of AI-native search infrastructure, helping top ecommerce brands convert searches into sales. We are backed by top global VCs and we're scaling fast. Role Overview: As a Solutions Engineer at Marqo, you'll be the technical champion during the pre-sales cycle-partnering with Account Executives to demonstrate the value of Marqo's platform to enterprise customers. You'll lead technical conversations, craft compelling demos, and guide prospects through smooth, low-lift integrations. This role is ideal for someone who thrives at the intersection of customer engagement, technical depth, and creative problem-solving. What You'll Do: Lead technical discovery and solution design for prospects and pilot customers Translate complex customer requirements into clear, scalable Marqo implementations Deliver compelling demos and proofs-of-concept that showcase the power of Marqo Partner with sales to influence enterprise buying decisions through technical credibility Support lightweight integration work (e.g., assisting with pixel deployment, API usage, or SDKs) Collaborate with Product and Engineering to channel customer feedback Create technical content such as guides, solution diagrams, and example queries What We're Looking For: 2-5 years in a Sales/Solutions Engineering, Pre-sales, or related technical customer-facing role Strong grasp of APIs, modern web architectures, and basic frontend/backend development Experience in search, e-commerce, ML/AI, or SaaS platforms a big plus Comfortable engaging with technical teams (developers, architects) and business stakeholders (product managers, execs) Clear communicator who can simplify complex ideas and build trust with enterprise customers Python, JavaScript, or prior experience working with search engines (e.g., Elasticsearch, Solr, Algolia) Why Marqo: Cutting-edge AI tech built for real-world scale and impact Work with global customers and high-impact use cases Fast-paced, supportive team environment where your ideas shape the product