Senior engineer jobs in San Francisco, CA

Job Title: HIL Test Engineer (BMS System) Employment Type: Full-Time We are seeking a skilled Embedded Engineer with strong expertise in Hardware-in-the-Loop (HIL) testing and Battery Management Systems (BMS). The ideal candidate will be responsible for developing, validating, and optimizing embedded control systems related to automotive or industrial battery applications. This role involves hands-on work with HIL platforms, embedded firmware, diagnostics, and battery system integration. Key Responsibilities: Develop, validate, and troubleshoot embedded software for Battery Management Systems (BMS). Plan, execute, and automate HIL test cases using tools such as dSPACE, NI, Vector, or equivalent systems. Create test scripts, perform fault injection, and ensure BMS compliance with safety and performance requirements. Analyze system behavior, debug issues, and implement corrective actions across embedded software and hardware. Work closely with cross-functional teams including systems engineering, hardware, validation, and controls. Support integration testing for HV battery packs, modules, and EV subsystems. Develop test documentation: test plans, procedures, reports, and traceability matrices. Perform CAN/LIN communication analysis using tools such as CANoe, CANalyzer, or Vector tools. Contribute to continuous improvement of testing frameworks, automation, and embedded processes. Required Qualifications: Bachelor's or Master's degree in Electrical Engineering, Embedded Systems, Electronics, Mechatronics, or related field. 3-6+ years of experience in embedded systems development and/or validation. Hands-on experience with HIL testing (dSPACE, NI, Vector VT, ETAS LABCAR, etc.). Strong understanding of Battery Management Systems, SOC/SOH estimation, cell balancing, thermal management, and HV safety. Proficiency in embedded C/C++, control algorithms, and microcontroller-based systems. Experience with CAN communication, UDS diagnostics, and scripting languages (Python, CAPL, MATLAB/Simulink). Preferred Qualifications: Experience with EV powertrain, high-voltage batteries, or automotive functional safety (ISO 26262). Familiarity with real-time operating systems (RTOS) and AUTOSAR environments. Knowledge of automation frameworks and CI/CD for embedded testing. Experience working with model-based development (MBD).

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents? Compensation: $220k - $240k Employment Type: Full time Model: Hybrid (days on site, 3 days remote) This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems. With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come. The Opportunity: As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment. You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact. What You Will Do: Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity Introduce new technologies and processes that materially improve how teams build and ship software Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement What We're Looking For: 8+ years of experience building and operating high-quality production software, with strong depth in Python Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills Curiosity and enthusiasm for emerging technologies and their real-world applications Nice to Haves: Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare Background in high-growth startup environments where systems and teams scaled rapidly Proven track record of mentoring senior and mid-level engineers Public technical contributions through open source, talks, or publications Why This Role: Strong funding, long runway, and clear momentum toward category leadership Ownership over foundational systems that define how autonomous AI agents operate in production High autonomy and trust with direct influence on long-term technical direction A collaborative, high caliber engineering culture that values rigor, learning, and impact The opportunity to help define a new category of applied AI systems used by real customers at scale If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.

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.

San Francisco Bay Area A pioneering space company developing next-gen orbital mobility solutions is hiring an Avionics and Software Lead to own the full stack of spacecraft avionics and flight software for a new Spacecraft Development. This is a rare opportunity to architect, build, and validate a complete flight system from scratch, working on cutting-edge propulsion-enabled platforms designed for responsive orbital manoeuvring. In this role, you'll define the avionics architecture, lead integration of radiation-tolerant electronics, and drive flight software development-including GNC algorithms, EPS design, and hardware-in-the-loop testing. You'll collaborate closely with cross-functional engineering leads to ensure spacecraft safety, autonomy, and reliability from concept through CDR. This is a hands-on leadership role for someone excited by the challenge of building high-performance spaceflight systems in a rapid development environment. What You'll Be Doing: Own the full avionics and flight software architecture through critical design review (CDR) Select and integrate COTS radiation-tolerant components for power, compute, and data handling Lead development of flight and ground software (telemetry, real-time control, fault management) Define and implement guidance, navigation, and control (GNC) algorithms Design electrical power systems (EPS), data bus architecture, and flight harnessing Build and operate a flat-sat HIL testbed for integration and validation Develop ICDs and maintain firmware/software configuration processes Support subsystem integration and testing campaigns Conduct FMEA and reliability analyses Lead subsystem design reviews and contribute to broader mission engineering milestones What You'll Need: Bachelor's degree in software engineering, electrical engineering, or similar 8+ years of experience developing avionics or flight software for spacecraft or other high-reliability systems Strong background in embedded systems, spacecraft autonomy, or GNC Proficiency in C/C++ or Rust; Python for scripting/testing Experience with radiation-hardened processors and electronics (Microchip, Xilinx, etc.) Familiarity with CAN, SpaceWire, RS-422, and other bus protocols HIL integration experience and knowledge of EMI/EMC and power distribution design principles U.S. Person (citizenship or permanent residency) required Desirable Experience: Autonomy frameworks or fault-tolerant flight software Space-rated EPS or battery management systems Responsive space operations or in-space logistics Previous experience in a startup or fast-paced R&D environment

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.

One of our clients which is having operations globally is looking a Hardware Test Engineer for an onsite role to Sunnyvale, CA. Please find the below job description and request you to share me your resume to ************************ Title: Hardware Test Engineer Location: Onsite to Sunnyvale, CA Duration: Full time with all the benefits Experience required: 5 + Years Description: 1) Board Testing experience in must using equipment like:- Oscilloscopes/DMM - digital multimeter 2) Candidate must have basic exposure to interfaces like :- I2C, SPI, I3C 3 ) Must have experience in basic EE testing terms like:- Current measurement / Power measurement / Voltage measurement / Signal measurement 4) Python is good to have but not mandatory 5) Degree: Flexible (ideal - BSEE or related field with 2+ years of experience) / (Associates will also work with 5+ years of experience in board testing)

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.

We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up. Responsibilities Build data pipelines that scale to 100k+ hours of multimodal robot data Scale pre- and post-training runs on 1000s of GPUs Improve inference efficiency on low-power embedded systems Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning Qualifications Strong practical experience building software infrastructure Experience implementing and debugging distributed systems Extensive experience in Python and at least one deep learning library such as PyTorch or JAX Ideally experienced in implementing scalable training pipelines for world-model-based RL Experience with systems programming languages (e.g. Rust, C++) is a plus We're a small, focused team where your contributions would have a major impact. As a founding team member, you'd also have significant ownership in what we're building together - we believe in giving our early engineers meaningful equity that reflects their foundational role.

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!

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.

Role: Test Engineer (Server Racks) Responsibilities Develop and execute system-level test plans for server rack hardware (compute, networking, power, cooling). Perform prototype bring-up, validation, and manufacturing test support during NPI and production ramp. Design and implement automated and manual test solutions to improve coverage and yield. Conduct failure analysis and root cause investigation on test and manufacturing issues. Collaborate with cross-functional teams including hardware, mechanical, firmware, and manufacturing. Required Skills & Qualifications BS in Electrical, Mechanical, or related Engineering field. 5+ years of test engineering experience with server racks or rack-level data center systems. Hands-on experience with test equipment (oscilloscopes, power analyzers, thermal chambers). Proficiency in test automation/scripting (Python, LabVIEW, Shell). Strong understanding of server rack architecture, power, and thermal systems.

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.

San Francisco Bay Area A pioneering space company developing next-gen orbital mobility solutions is hiring an Avionics and Software Lead to own the full stack of spacecraft avionics and flight software for a new Spacecraft Development. This is a rare opportunity to architect, build, and validate a complete flight system from scratch, working on cutting-edge propulsion-enabled platforms designed for responsive orbital manoeuvring. In this role, you'll define the avionics architecture, lead integration of radiation-tolerant electronics, and drive flight software development-including GNC algorithms, EPS design, and hardware-in-the-loop testing. You'll collaborate closely with cross-functional engineering leads to ensure spacecraft safety, autonomy, and reliability from concept through CDR. This is a hands-on leadership role for someone excited by the challenge of building high-performance spaceflight systems in a rapid development environment. What You'll Be Doing: Own the full avionics and flight software architecture through critical design review (CDR) Select and integrate COTS radiation-tolerant components for power, compute, and data handling Lead development of flight and ground software (telemetry, real-time control, fault management) Define and implement guidance, navigation, and control (GNC) algorithms Design electrical power systems (EPS), data bus architecture, and flight harnessing Build and operate a flat-sat HIL testbed for integration and validation Develop ICDs and maintain firmware/software configuration processes Support subsystem integration and testing campaigns Conduct FMEA and reliability analyses Lead subsystem design reviews and contribute to broader mission engineering milestones What You'll Need: Bachelor's degree in software engineering, electrical engineering, or similar 8+ years of experience developing avionics or flight software for spacecraft or other high-reliability systems Strong background in embedded systems, spacecraft autonomy, or GNC Proficiency in C/C++ or Rust; Python for scripting/testing Experience with radiation-hardened processors and electronics (Microchip, Xilinx, etc.) Familiarity with CAN, SpaceWire, RS-422, and other bus protocols HIL integration experience and knowledge of EMI/EMC and power distribution design principles U.S. Person (citizenship or permanent residency) required Desirable Experience: Autonomy frameworks or fault-tolerant flight software Space-rated EPS or battery management systems Responsive space operations or in-space logistics Previous experience in a startup or fast-paced R&D environment

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.

Day to Day: Under this position, the employee will, under only general supervision from the Project Manager, exercise independent judgment and discretion to manage the on and off site execution of daily project requirements and activities, while flexibly responding to customer demands. Value engineering, cost reduction and risk mitigation are essential requirements of each assigned project. Using sound project management techniques oversees the required day to day project execution activities of our subcontractors and field execution teams. Responsible for cost/budget allocations of projects and activities assigned. Responsibilities will include maintaining a high level of customer satisfaction while balancing the project demands and financial goals. EDUCATION AND EXPERIENCE: Bachelor's degree in Mechanical Engineering, Electrical Engineering or Construction Management is preferred and/or 4-8 years of related work and engineering experience in the Controls or Construction Industry. Strong mechanical aptitude and any technical school training. Ability to read construction blueprints and electrical schematics. Working knowledge of MS Office, Windows, File Structure, AutoCAD, VISIO. Basic TCP/IP network structure and web navigation are desired. Must be highly organized and possess the ability to work in a high paced environment with the ability to prioritize tasks to meet the schedules given by Sunbelt leadership. Demonstrates effective work delegation techniques and can provide constructive work instructions to Sunbelt, subcontractor, and other vendor personnel. Has the ability to operate independently and autonomously and take ownership of all assigned tasks. Must possess a valid California driver's license. Ability to execute their work to ensure high customer satisfaction and the highest quality deliverable. Excellent oral, written and interpersonal skills are a requirement of this position. ESSENTIAL FUNCTIONS: Develops personal intellectual and technical product knowledge specific to the needs of the business and that of specific projects. Production of controls systems design drawings, sequence of operations and submittals for lower level control systems while supporting Senior Level Design Engineers for mid-level control systems as required. Research and selection of control system peripherals and end devices as necessary. Reading and interpreting project construction drawings and specifications to ensure scope compliance. Provides value engineering and cost reduction solutions to the Project Manager. Manages the project's material procurement process and coordinates the shipments of material to the site and/or other trades for assigned projects. Selects and orders appropriate materials. Maintains and monitors material usage, cost and inventory control. Obtains lead time discounts when possible. May perform modification of previously produced controls designs to reflect field changes made during the implementation process (As-Built drawings). Manages and provides documentation for the project file including correspondence, requests for information, change orders, logs and project schedules. Change order management and upselling of scope is a requirement of this position. Manages and oversees project construction for compliance with specifications, codes, material, installation techniques, safety activities and Sunbelt standards. Develops and maintains internal project construction schedules relative our scope of work utilizing 3 rd party software programs such as MS Project as required. Manages, supports and provides oversight to all 3 rd party commissioning requirements on assigned projects. Manages the project closeout process and turnover of documentation to the Engineering group and/or PM. Manages and coordinates all aspects of our installation subcontractor's scope of work while maintaining project schedule. Manages and completes the project warranty transition process as necessary and coordinates an on-site visit for service personnel and ensures transition to service is achieved. Annual Compensation: $90,000 to $110,000. Exact compensation may vary based on several factors, including skills, experience, and education.

Senior Agent Systems Engineer We're representing a frontier AI research group building autonomous systems that can reason, plan, and operate complex real-world engineering workflows. This is a core engineering role shaping how intelligent agents interact with tools, data, and long-horizon tasks. ⭐ The Opportunity Join a small, high-performing team designing the orchestration, planning, and execution layer that enables LLM-driven agents to reliably complete multi-step engineering processes. What You'll Do Build agent planning and orchestration systems that coordinate tool calls, workflows, and long-horizon tasks Design schemas, action interfaces, and deterministic execution flows Implement robust error-handling, rollback, retry, and reproducibility strategies Own the tooling logic that connects agents to real engineering stacks Partner with ML researchers, infra teams, and domain experts to deliver production-grade agent systems What You Bring Experience building agent systems, orchestrators, tool-use frameworks, or structured LLM pipelines Strong systems-engineering fundamentals - deterministic thinking, reliability, and failure-mode awareness Comfort designing workflows that integrate with complex real-world tools Ability to work in a fast, experimental environment where robustness matters Why This Role Excites People Build agent systems that control real physical-world workflows, not just simulations Huge scope for technical ownership and creative problem-solving Mission-driven environment focused on breakthrough autonomy Competitive salary + strong equity in a fast-scaling AI organization Interested? If you're passionate about building reliable, intelligent agent systems at the cutting edge of AI and autonomy, we'd love to speak.

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.

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.