Senior Staff ML Engineer- Atlas Agents Team at Boston Dynamics

Job description

About the Role 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. The Atlas Applications team is seeking a versatile full stack engineer to build and integrate the systems that make Atlas capable of complex tasks in dynamic environments. In this role, you will work on every layer of the agentic system that powers Atlas - from harness design to context engineering and agent benchmarking. You will partner closely with ML engineers, product teams, and interaction designers to develop Atlas planning and reasoning system, and to integrate this system with the right tools, data, and prompts. Candidates who thrive working across system boundaries and who are excited to push forward the state of the art in robotics are encouraged to apply. Responsibilities Work directly on Atlas agentic capabilities, utilizing VLMs, tool calls, context engineering, and memory to support multiple real-world applications. Design and implement observability, 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. Develop the operator dashboards, task configuration UIs, and diagnostic interfaces to help users build and deploy Atlas applications. Collaborate cross-functionally with behavior, controls 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. Requirements 5 years of professional software engineering experience with a strong full stack background spanning backend and LLM integrations. Demonstrated ability to design and integrate APIs and third-party services in complex distributed system environments. Strong fundamentals in data structures, algorithms, distributed systems, and software architecture. Proficiency in modern backend technologies (e.g., TypeScript, Python) and data stores (e.g. Postgres, Redis). Demonstrated ability to ship reliable, maintainable, and well-tested software while utilizing agentic coding tools like Claude Code. Comfort working in fast-moving, ambiguous environments where you re expected to own problems end to end. Preferred Experience with vision language models (VLMs) backed agentic systems, including context engineering, tool-use, and model selection or fine-tuning. For example, building a coding agent. Experience building model and harness benchmarks (gym environments, datasets, tooling, leaderboards) for VLMs and/or agents. Experience working with robotics systems, computer vision models, and real-time data pipelines. Proficiency in modern frontend frameworks (e.g., React). Familiarity with observability platforms (e.g. OpenTelemetry). We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position. The base pay range for this position is between $180,000 to $220,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

Requirements

Must-haves

The Atlas Applications team is seeking a versatile full stack engineer to build and integrate the systems that make Atlas capable of complex tasks in dynamic environments.
Candidates who thrive working across system boundaries and who are excited to push forward the state of the art in robotics are encouraged to apply.
Responsibilities Work directly on Atlas agentic capabilities, utilizing VLMs, tool calls, context engineering, and memory to support multiple real-world applications.
Design and implement observability, 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.
Develop the operator dashboards, task configuration UIs, and diagnostic interfaces to help users build and deploy Atlas applications.
Collaborate cross-functionally with behavior, controls 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.
Requirements 5 years of professional software engineering experience with a strong full stack background spanning backend and LLM integrations.
Demonstrated ability to design and integrate APIs and third-party services in complex distributed system environments.
Strong fundamentals in data structures, algorithms, distributed systems, and software architecture.
Proficiency in modern backend technologies (e.g., TypeScript, Python) and data stores (e.g. Postgres, Redis).
Demonstrated ability to ship reliable, maintainable, and well-tested software while utilizing agentic coding tools like Claude Code.
Comfort working in fast-moving, ambiguous environments where you re expected to own problems end to end.
Experience building model and harness benchmarks (gym environments, datasets, tooling, leaderboards) for VLMs and/or agents.
Experience working with robotics systems, computer vision models, and real-time data pipelines.
Proficiency in modern frontend frameworks (e.g., React).
Familiarity with observability platforms (e.g. OpenTelemetry).
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position.

Nice-to-haves

Preferred Experience with vision language models (VLMs) backed agentic systems, including context engineering, tool-use, and model selection or fine-tuning. For example, building a coding agent.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlllmtypescriptpythonpostgresreact

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off