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 a software regression in production isn't just a bug, it's a missed meal, a stopped line, or a customer incident. As a Robotics Software Test Engineer, you own the quality bar for our entire robot software stack: perception, autonomy, platform, and the integrations between them.
This is a builder role, not a manual QA role. You'll design and implement the test infrastructure, CI/CD gates, and hardware-in-the-loop validation systems that let a small team ship fast without breaking things in the field. You'll work directly with perception and robotics engineers — embedded in the team, not downstream of it — and your test frameworks will be first-class engineering artifacts.
We are a small, high-ownership team. We work onsite five days a week and move with startup urgency.
In this role, you will:
- Design and implement automated test plans, test cases, and fixtures across the full robot software stack — from unit tests to system-level integration tests
- Build and own hardware-in-the-loop (HIL) test infrastructure that validates perception, robotics, and platform software against real or simulated hardware
- Strengthen and extend CI/CD pipelines to catch regressions early and gate releases with high confidence
- Define quality metrics and release readiness criteria; track test coverage, failure trends, and fleet health to give the team clear signal
- Investigate and root-cause production failures across software, hardware, and system boundaries; build regression tests to prevent recurrence
- Develop simulation-based test environments to validate perception and robotics changes before deploying to physical robots
- Participate in design and code reviews with a lens on testability, observability, and failure modes
- Instrument the robot software stack for better debuggability and post-hoc failure analysis
What You Bring:
- 3+ years of experience in software test engineering, reliability engineering, or a closely related role
- Strong Python skills
- Hands-on experience designing and building test infrastructure — not just writing tests, but building the systems that run them
- Experience with CI/CD systems and integrating automated testing into release pipelines
- Strong debugging instincts — able to trace failures across software layers, hardware interfaces, and timing boundaries
- Solid understanding of testing methodologies across unit, integration, system, and hardware-in-the-loop layers
- Comfort working in Linux-based development and production environments
- Self-starter who can prioritize independently in an ambiguous, fast-moving environment
Nice-to-have:
- Experience testing robotics software stacks (ROS, perception pipelines, control systems)
- Familiarity with simulation environments (Gazebo, Isaac Sim) for test scenario generation
- Experience with Docker or containerized test environments
- Background in data logging, observability pipelines, or fleet monitoring systems
- Knowledge of networking protocols relevant to robotics (TCP/UDP, PTP, gRPC)
- Experience with hardware bring-up, sensor calibration, or embedded systems testing
- Prior work in fast-paced robotics or hardware startups
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.
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