- Robot type
- Humanoid · Warehouse and Logistics
- Location
- WalthamMassachusettsUSA
- Job type
- Software
- Posted
- Oct 22, 2026
- Salary
- $120,000–$145,000 a year
Full-time
Senior Full Stack Software Engineer-Atlas
Job description
As seen at CES 2026, Atlas is the robot transforming the role of humanoid robots in our world. This is your chance to come and work on the cutting edge of robotics, and make a direct impact on how people will interact with humanoids now and in the future.
Job responsibilities
- Work directly on Atlas' agentic capabilities, utilizing VLMs, tool calls, context engineering, and memory to build a flexible and performant task execution system.
- Develop, design, and establish conventions for the operator dashboards, task configuration UIs, and diagnostic interfaces to help users build and deploy Atlas applications.
- Leverage observability frameworks, structured logging, and tracing infrastructure to provide visibility into system behavior and performance.
- Develop and utilize evaluation and benchmarks to measure reasoning quality, safety, reliability, and generalization across tasks and environments.
- Collaborate cross-functionally with agentic systems, behavior, controls, perception, and product experts to ship end-to-end capabilities.
- Engage with customers and internal stakeholders to understand real-world use cases and ensure solutions are practical, reliable, and impactful.
- Contribute to a strong engineering culture through code reviews, testing, documentation, and thoughtful system design.
Job requirements
- 2+ years of professional software engineering experience or masters degree in related field.
- Demonstrated ability to design and integrate APIs and third-party services in complex, multi-system environments.
- Knowledge of modern frontend frameworks (e.g., React), backend technologies (e.g., Python, TypeScript) and databases (e.g. Postgres, Redis).
- Strong fundamentals in data structures, algorithms, distributed systems, and software architecture.
- Comfort working in fast-moving, ambiguous environments where you're expected to own problems end to end.
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