Senior engineer jobs in Concord, CA

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

Staff AI Engineer | Sunnyvale, CA | $225K-$300K + Equity We're partnering with a leading company in the software defined vehicle space to hire a Staff AI Engineer. Their technology is already running in more than five million vehicles on the road today and they are now building the next layer of AI that will power future automotive platforms. In this role you will work on advanced language models, retrieval systems and agent style architectures that support real world, safety critical use cases. You will own the full lifecycle of AI systems from early research through to stable, production grade services. What you'll do: Train and fine tune LLMs for reasoning and decision making Build retrieval pipelines and RAG systems for real time semantic search Design and scale ML systems that run in fault tolerant, privacy compliant environments Develop evaluation frameworks to measure reliability, correctness and performance Work closely with engineering and product teams to shape AI solutions that match real world needs What we're looking for: 5+ years of experience as an AI or ML engineer Hands on experience with LLMs, agent frameworks and RAG architectures Strong Python and experience with PyTorch or TensorFlow Background in building and deploying production ML systems Comfort working in a collaborative on site environment three days per week in Sunnyvale If this sounds like something you would like to explore, apply today and we'll be in touch

About VIVIO VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone. Why Join VIVIO? Innovation: Challenge the status quo and shape healthcare's future Impact: Directly influence patient care and help change healthcare delivery Collaboration: Work with passionate teammates dedicated to making a difference Culture: Enjoy autonomy and reliability in a micromanagement-free environment Growth: Expand your opportunities as we expand our business Job Description Position Overview We're seeking a mission-aligned Tech Lead to help build and improve our products. As a hands-on technical leader, you'll play a crucial role in architecting and developing data-driven solutions. This position combines technical expertise with leadership skills to drive our technology vision forward. This is a Hybrid role with a minimum of 3 in-office days in our Hayward office. Key Responsibilities: Lead software development initiatives while maintaining hands-on involvement Architect and develop data-producing/consuming software solutions Ensure high-quality deliverables through well-designed, maintainable, and unit-tested code Support distributed web applications in a complex, evolving environment Manage the entire application lifecycle from design to monitoring Collaborate across departments to align technical solutions with business goals Qualifications Required Qualifications: BS or advanced degree in Computer Science or equivalent practical experience 5+ years of hands-on Python development experience. 8+ years of software engineering experience Strong understanding of regulated environments (PCI DSS, ISO 27001, HIPAA, NIST) Experience with relational databases (MySQL) Proficiency in RESTful APIs and microservices architecture Experience with Atlassian toolset and Agile development methodologies Proven track record managing distributed development teams Healthcare industry experience preferred Key Attributes: Active problem solver with a "figure it out" mindset Clear and proactive communicator Exceptional attention to detail Ability to balance technical leadership with hands-on development Passion for mentoring and growing engineering talent Additional Information Compensation & Benefits Base Salary: $160,000 - $ 180,000 Bonus Eligible Comprehensive Benefits Package: Medical, Pharmacy, Dental, Vision Life Insurance Stock Options 401(k) with Company Match PTO Full-time position Dynamic, collaborative work environment Opportunity to make a real impact at a growing Public Benefit Corporation VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@smartrecruiter.com" or "@viviohealth.com" email accounts.

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

We're a fast-moving Series A startup on a mission and we're looking for a Compiler Engineer who can turn cutting-edge ideas into blazing-fast reality. If you live and breathe compilers, know your way around low-level codegen, and love squeezing every last drop of performance from hardware, this is your moment. What You'll Bring 4+ years crafting compilers, with deep mastery of algorithms and data structures Hands-on expertise in low-level code generation, object file manipulation, and target-specific optimizations Serious C/C++ chops Clear communicator, strong doc writer, detail-driven, and always team-first Bonus Points MS/PhD in CS/CE/EE Familiarity with instruction selection, register allocation, dominance, def-use, calling conventions, linking & relocations LLVM experience Loop optimization wizardry (vectorization, unrolling, fusion, parallelization) Why Us? You won't be a cog. You'll be a cornerstone. Own major pieces of the toolchain, shape architecture decisions, and ship tech that pushes the boundaries of what's possible. If you want to build boldly, optimize ruthlessly, and leave your fingerprints on the future, we want to meet you.

2-7 years of experience in software testing. Strong understanding of STLC, SDLC, and defect lifecycle. Camera Testing experience is mandatory. Good communication and problem-solving skills.

A semiconductor client in the Bay Area is looking for an Application Engineer (AE) to provide technical leadership and support in the sales and support of V93000 (V93k) Semiconductor Test Systems and Applications. The ideal candidate will have proven experience with Automatic Test Equipment (ATE), specifically utilizing Advantest's V93000 hardware and SmarTest 7 or 8 software. This role will be critical in developing, implementing, and optimizing test solutions for next-generation high performance computing devices. • Lead and support sales and application efforts for V93000 Semiconductor Test Systems. • Engage in sales process activities: requirements analysis, demos, benchmarks, competitive positioning, implementation. • Ensure product functionality and integration into customer environments. • Analyze complex customer requirements and provide technical expertise (performance, design, optimization, test program development). • Design and validate technical solutions aligned with customer business goals. • Identify and manage resources and deliverables for customer solutions. • Share emerging technologies with global technical peers. • Influence customer decisions through technical value creation. • Create and manage project plans for complex initiatives. • Represent customer needs to internal teams. Deliver customer training and consultation. Required Skills & Experience • Bachelor's in Electrical/Electronic Engineering or related field. • 3+ years in IC test or application development. • Experience with V93000 SMT7/8 and bench instruments. • C++ or Java programming skills. Nice to Have Skills & Experience • SMT8 experience • Knowledge of VLSI and semiconductor manufacturing. • Scripting in Perl or Python.

Socionext America Inc. (SNA) Socionext Inc., world's second largest fabless semiconductor company, designs, develops and delivers leading edge System-on-Chip cusom silicon solutions to global customers. The company is focused on datacenter compute server, networking, storage, artificial intelligence, automotive and industrial automation market segments that drive today's leading-edge services and applications. Socionext combines world-class expertise, deep enterprise class product development experience, and an extensive IP portfolio to provide differentiating solutions. Socionext Inc. is headquartered in Shin-Yokohama, and has offices in Japan, United States, Europe and Asia. We are seeking a Marketing Manager for our Data Center business with a background as an Applications Engineer. The primary responsibilities include but are not limited to: Create Data Center market technologies inflexion insights Develop Market Requirements Document (MRD) by engaging with market leading customers and capturing technology needs, systems roadmaps Study emerging market and industry technology trends Develop datacenter business opportunities and win strategies Advocate IP offerings roadmap to customers and collect feedback Working closely with management to drive all phases of customer design wins and execution Requirements for this position : Bachelor's Degree in EE, Masters preferred 5+ years of successful experience in marketing and closing business 8+ years of experience with data center networking, storage and server products (knowledge of data center interconnects) Must have experience in networking and storage industry. In depth knowledge of Storage applications is required. Familiarity with solid state storage is a plus. Requires an excellent understanding of ASIC design and manufacturing flows, including a good grasp of the competitive landscape Knowledge required - ASIC Marketing, CNICs/HBAs, PCIe, NVMe, Flash, SSD, SATA, SAS, iSCSI Ability to guide products through development, including the definition and trade off analysis of architectures and new features for the components required for Data Center ASIC Ability to lead with varied goals and objectives to achieve business unit's direction and purpose Ability to use financial tools such as ROI and NPV analysis to build business cases. Teamwork, dedication, strong communications and interpersonal skills Some travel ~10%

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

RTL Engineer Fulltime We are urgently seeking experienced RTL Engineers to join our team. The selected candidates will be responsible for developing and executing verification plans, building robust verification environments, and collaborating closely with design teams to ensure high-quality deliverables. Responsibilities Plan: Develop comprehensive Core Verification Plans based on micro-architecture and design specifications. Develop: Architect and implement reusable, scalable verification environments using System Verilog/UVM. Test: Create and run constrained-random and directed tests to achieve high functional and code coverage. Debug: Analyze simulation results, root-cause complex failures, and work with design teams to resolve issues. Automate: Build and maintain automation scripts (Python/Perl) to enhance verification workflows and regression management. Requirements Mandatory expertise in System Verilog and UVM. Minimum 7 years of hands-on verification experience. Strong understanding of digital logic design and verification methodologies. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Ability to work independently and provide technical feedback to FE RTL design teams and CPU/IP micro-architects. Proficiency with industry-standard EDA simulation and debug tools. Strong debugging and root-cause analysis skills. Scripting experience (Python, Perl). Excellent written and verbal communication skills in English. Added keywords for additional candidates. HBM Memory Controller SoC DRAM TPU ARM Cortex ARM M7 There are three core expectations: Strong, independent leads Engineers who can operate with confidence, reduce dependency on the client's thin internal team, and take real ownership of blocks. Consistency and continuity We cannot afford churn - selected leads must be stable, reliable long-term contributors. Ability to scale with the program Additional phases may spin up quickly; leads should be capable of mentoring and guiding expansion teams. Thanks and Regards, Manisha Dabral Signature IT World Inc. *********************

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Agent Systems Engineer - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for a Senior Agent Systems Engineer to design and implement the planning, orchestration and tool-use behaviors that allow AI Agents to operate complex physical and experimental workflows. What Will I Be Doing: Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks. Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use. Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior. Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains. What We're Looking For: Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks. Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution. Ability to reason about system-level failure modes, edge cases, and safe tool interaction. Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment. Above all, we're looking for candidates who demonstrate world-class excellence. What's in It for Me $200k - $300k dependent on experience and meaningful equity The chance to build foundational agentic infrastructure for physical AI Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs A role at the core of a rapidly growing, deeply technical team The opportunity to define how AI interacts with the physical world Apply now for immediate consideration!

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise