Senior Software Engineer, Robotics Platform
TAU Ventures
Software Engineering
San Francisco, CA, USA
Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base.
Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen.
Chef Robotics is building autonomous robots that work alongside humans in commercial food preparation environments — and the platform they run on has to be rock-solid. As a Senior Software Engineer on the Robotics Platform team, you own the foundation: the compute, OS, middleware, and networking that everything else depends on. You'll be working on everything from low-level system software to high-bandwidth sensor data logging, debugging, and performance analysis. Ideal candidates will also be interested in overall product performance and will work closely with senior robotics and perception engineers to debug, test, and release new autonomy features.
We are a small, high-ownership team. We work onsite five days a week and move with startup urgency — you'll lead the systems-level work that makes those features reliable in production.
In this role, you will:
- Lead the upgrade of our autonomy software OS and middleware stack, across production systems
- Define software architecture standards, release processes, and testing practices for platform software
- Own fleet-wide platform reliability — diagnose and fix low-level systems issues (drivers, networking, Linux configuration) across deployed robots
- Investigate and resolve networking and load bottlenecks that affect perception and autonomy algorithm performance
- Build provisioning and configuration tooling that scales robot bring-up with manufacturing
- Integrate new hardware, sensors, and cameras into the platform; monitor performance across the fleet
- Set the bar for engineering quality — well-structured, well-tested, production-ready code
What You Bring:
- BS, MS, or PhD in Computer Science, Robotics, or a closely related field.
- 4+ years building production software in Linux environments, with strong systems-level expertise
- Experience shipping and maintaining software across a fleet of devices — not just individual systems
- Strong fundamentals: networking protocols (TCP, UDP, PTP), build systems, performance profiling, memory optimization
- Track record of leading complex, multi-component software projects from design to production
- Familiarity with ROS or similar robotics middleware.
Nice-to-have:
- Background in fleet management, OTA update systems, or large-scale device deployment
- Full-stack or cloud infrastructure experience (monitoring, logging, observability pipelines)
- Experience using simulation for hardware-in-the-loop or regression testing
- Familiarity with basic mechatronics and electronics
Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place.
150000 - 200000 USD a year