Foundry Robotics Logo

Foundry Robotics

Lead Robotics Platform Engineer

Reposted 25 Days Ago
Be an Early Applicant
In-Office
Emeryville, CA, USA
150K-250K Annually
Senior level
In-Office
Emeryville, CA, USA
150K-250K Annually
Senior level
Lead the Cell Platform team owning the software/hardware layer between firmware and application on robot cells. Responsible for product roadmap, releases, hands-on development, hiring, and cross-team partnerships. Deliver embedded Linux/BSP bring-up, sensor integration, real-time determinism, middleware (ROS2/DDS) and data transport design, containerized images, CI/CD release engineering, and fleet-scale OTA/provisioning and observability for production robot fleets.
The summary above was generated by AI
About Us

Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots.

Factory OS is building software that runs factories. Our platform spans cloud backends, on-prem services, and edge devices deployed on the factory floor. The operators, supervisors, and managers who use our tools need interfaces that are fast, reliable, and intuitive—even when network conditions aren’t perfect and the environment is demanding. This role is 100% in-person at our office in Emeryville, CA.

The Role

We are hiring the lead for our Cell Platform team. The cell platform is everything between firmware and application software on the robot cell, plus the electronic hardware it runs on: sensors and cameras, computes and carrier boards, networking, the OS and BSP layer, middleware and data transport, provisioning, and fleet infrastructure.

We treat the platform as an internal product. Its customers are our robotics, software, and manufacturing teams; its contract is a consistent, reproducible, performant base cell that they build on without worrying about the layers below. You will own that product: roadmap, releases, and the relationships with the teams that depend on it.

This is a player-coach role. You will be hands-on-keyboard from day one while defining the roadmap and hiring the engineers who will form the team around you.

What We're Looking For

You have built and shipped platforms on fleets of robots deployed into production for real customers. You know what lab prototypes and pilots don't teach: surviving OTA updates on remote hardware, debugging failures without physical access, and maintaining reliability against customer expectations rather than internal deadlines. Several years of this production-fleet ownership is our hard requirement; typically this looks like 8+ years of industry experience at AV, humanoid, AMR, or drone companies, owning the layer between BSP and autonomy.
Skills

  • Embedded Linux/BSP depth: kernel, drivers, device trees, boot, and BSP management; platform bring-up on NVIDIA Jetson and x86 targets.

  • Sensor integration and evaluation: has integrated a multitude of sensor types at the driver, SDK, and middleware-wrapper levels, and knows how to design and run sensor evaluations (latency, sync, driver stability, thermal). Emphasis on GMSL2 and PoE cameras.

  • Real-time and determinism: configures and validates real-time Linux kernels, CPU isolation, IRQ affinity, and RT scheduling policies to guarantee loop jitter budgets for control at 500 Hz–1 kHz; understands the interaction between RT configuration, DDS middleware, and zero-copy transport paths.

  • Middleware fluency: ROS 2 and DDS/RMW internals, QoS, node composition, zero-copy transport.

  • Data transport architecture: reasons about functional and optimal data transport on single-compute and distributed-compute architectures from first principles (shared memory, zero-copy, DMA/NVMM paths, network protocols), independent of any one middleware, and evaluates alternatives against measured budgets.

  • Hardware evaluation and qualification: has sourced, brought up, and qualified sensors/computes/networking on real robots; comfortable owning a BOM and working the seam with mechanical/electrical engineering.

  • Containerization and image engineering: designs images deliberately (layer ordering for build cache, multi-stage builds, minimal runtime images) and orchestrates multi-container systems on robot computes.

  • Release engineering: CI/CD pipelines, artifact/registry management, versioned release discipline.

  • Fleet/device management: OTA, provisioning at fleet scale, device observability.

Growth Opportunities
  • Own major product surfaces used by factory teams every day

  • Gain deep exposure to edge computing and industrial software patterns

  • Influence frontend architecture and developer experience across the platform

  • Grow into technical leadership within the application team

Why Join Us?

This is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.

We are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.

If you want to run a mature, well-defined commercial org, this may not be the role.

If you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it.

The base salary range for this full-time position in the location of Emeryville is:

$150,000—$250,000 USD

Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.

Foundry Robotics is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

 

Similar Jobs

2 Minutes Ago
Easy Apply
In-Office
Easy Apply
124K-186K Annually
Senior level
124K-186K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
Leads materials and process engineering for welded aerospace hardware, including weld material and product qualification for flight and reuse. Develops technical specifications, engineering standards, qualification workflows, damage-tolerant design requirements, and process optimization. Collaborates with weld, materials, design, manufacturing, laboratory, quality, and fracture control teams on characterization, inspections, failure analysis, cost reduction, and production-rate improvements for reusable launch vehicles.
Top Skills: Additive ManufacturingAws D17.1Aws D17.2CoatingsElectron Beam Welding (Ebw)Friction Stir WeldingGas Metal Arc Welding (Gmaw)Gas Tungsten Arc Welding (Gtaw)Heat TreatmentLaser WeldingNon-Destructive Evaluation (Nde)Orbital Tube WeldingPassivationPrecision CleaningStatistical Experimental Design
3 Minutes Ago
Easy Apply
In-Office
Easy Apply
122K-182K Annually
Senior level
122K-182K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
Leads end-to-end infrastructure design projects for Relativity Space’s Wormhole factory, from concept development and permitting through construction handoff. Coordinates multidisciplinary design across architectural, mechanical, electrical, plumbing, and civil disciplines; manages consultants, stakeholders, budgets, estimates, and change tracking; develops work center layouts; and supports construction administration through submittal reviews, RFI responses, site walks, and punchlist validation.
Top Skills: CadTitle 24
17 Minutes Ago
In-Office or Remote
San Francisco, CA, USA
180K-240K Annually
Entry level
180K-240K Annually
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own Deepgram’s conversational design discipline for voice agents, including persona, turn-taking, interruption, repair, confirmation, pacing, and latency-aware behavior. Partner with ML and Engineering to ship conversational systems, establish quality evaluations and transcript review practices, and create reference agent experiences and developer guidance for the Voice Agent API. Define design principles, standards, and shared vocabulary while influencing technical partners without direct authority.
Top Skills: APIsAsrLlmSdksTtsVoice Agent Api

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account