Senior Software Engineer to be an architect and caretaker of our Perception codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You'll work closely with our research teams and our data platform team, leveraging their data and ML infrastructure expertise, while focusing on creating a robust, scalable, and developer-friendly foundation for our Perception models.
What You'll Do- Wrap perception ML models (part registration, seam localization, real-time weld tracking) into reliable production services that ship to our internationally deployed fleet of welding robots.
- Build gRPC/Protobuf service interfaces with rigorous schema versioning so ML models can evolve seamlessly within our software stack.
- Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
- Build observability and telemetry pipelines that surface fleet-wide perception failures, connecting model metrics to operator outcomes and shortening debug cycles.
- Design data pipelines that close the active-learning loop, ingesting fleet data through annotation tools and routing labeled data back to training services.
- Help establish software best practices and drive engineering quality through code review, testing harnesses, and CI/CD, and mentor mid-level engineers writing production perception services.
Who You Are- 5+ years building production backend systems in Python (C++ is a plus).
- Expertise in architecture, concurrency, performance, and API design.
- Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution and backward-compatible API contracts across long-lived clients.
- Hands-on with containerized deployment, Linux, and GPU compute. Comfortable diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
- Experience building developer tools, frameworks, or platforms, especially those used by ML, CV, or research teams.
- Comfortable enough with ML and computer vision workflows (training loops, evaluation harnesses, point clouds) to support them in code, even though you don't necessarily tune models yourself.
- Thrive at the boundary between research and production, translating prototypes into reliable services while enabling the researchers behind them.
Why You'll Love It Here- Free lunch every day
- Flexible PTO
- Medical, Dental, and Vision insurance
- 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
- 401K through Empower
- Paid Referral Bonus
