Atlas ML Software Engineer - Large Scale Behavior Cloning

Boston Dynamics; Boston (MA); On-site; USD 154,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Paid time off

Annual bonus

Job summary

Boston Dynamics is seeking a software engineer to build the tools and infrastructure powering the end-to-end iteration cycle for Atlas data collection, training, evaluation, and diagnostics. You will collaborate with researchers, ML engineers, data ops, and robot demonstrators to streamline data-to-deployment pipelines.

You will develop data querying tools, track performance metrics, and improve simulation-based testing while integrating CI/CD and scalable infrastructure across hardware and

Qualifications

• 3+ years of software development in robotics, ML infra, or related fields.
• Strong Python proficiency; familiarity with C++.
• Experience building internal tools, dashboards, or GUI apps.
• Familiarity with ML workflows: training pipelines, experiment tracking, dataset management.
• Experience with real-world robotics systems in industry, research, or academia.
• Experience with data analysis and visualization.
• Experience with cloud infrastructure, Docker, and job orchestration.
• Strong communication and collaboration skills.

Responsibilities

• Contribute to ongoing R&D initiatives with Research Scientists and Infrastructure Engineers.
• Develop tools to query data, training, and testing performance metrics.
• Analyze and track failures in experimental robot runs.
• Work with robot simulation software to create scenarios, tests, and data collection tools.
• Build internal tools and platforms to accelerate collect, train, and evaluate loop.
• Develop software giving researchers visibility into policy performance, data quality, and collection gaps.
• Collaborate across hardware and simulation environments to support evaluation and rapid experimentation.
• Maintain and improve the code repository, including CI/CD, testing, and deployment.

Skills

Python

C++

Data analysis

Visualization

Cloud infrastructure

Docker

CI/CD

Tools

Docker

CI/CD tooling

Job description

As seen at CES 2026, Atlas is the humanoid robot transforming what's possible in real-world manipulation and mobility. Our behavior development process is built on repeated iteration between data collection, policy training, hardware evaluation, and targeted diagnostics.

We are seeking a software engineer to build the tools and infrastructure that power this cycle end to end. Your scope will span data pipelines, training infrastructure, evaluation systems, and the tooling that connects them, with the goal of reducing friction and increasing the throughput and quality of each iteration. You will work in close collaboration with research scientists, ML engineers, data operations teams, and robot demonstrators.

How You Will Make An Impact

• Actively participate in ongoing R&D initiatives, collaborating closely with Research Scientists and Infrastructure Engineers.
• Develop tools to query and gain insights into data, training, and testing performance metrics.
• Analyze and track failures in experimental robot runs.
• Work with robot simulation software to develop scenarios, tests, and data collection tools.
• Build internal tools and platforms that accelerate the collect, train, and evaluate loop.
• Develop software that gives researchers and engineers immediate visibility into policy performance, data quality, and collection gaps.
• Work across hardware and simulation environments to support evaluation and rapid experimentation.
• Maintain and improve the code repository, ensuring its ongoing maintenance and improvement to meet evolving needs (CI/CD, testing, deployment).

What We Are Looking For

• 3+ years of experience developing software for robotics, ML infrastructure, or related fields.
• Strong proficiency in Python, familiarity with C++Experience building internal tools, dashboards, or GUI applications.
• Familiarity with ML workflows including training pipelines, experiment tracking, and dataset management.
• Experience working on real-world robotics systems, whether in industry, research, or academic settings.
• Experience with data analysis and visualization.
• Experience with cloud infrastructure, databases, Docker, and job orchestration.
• Strong communication and collaboration skills.

Nice To Have

• MS in Robotics, Computer Science, Machine Learning, or a related field.
• Familiarity with behavior cloning, diffusion policies, or VLA/VLM architectures.
• Prior experience building or contributing to evaluation pipelines for ML or robotics systems.

The base pay range for this position is between $154,000 to $190,000 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 an annual bonus structure.
• Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.