Boston Dynamics
Staff ML Ops Engineer
$150K–$180K
Waltham Office (POST) · Staff · Full-time · Posted Oct 2, 2026
- Experience
- 5+ years of experience as a Senior Software Engineer or ML Engineer.
- Education
- Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- Visa sponsorship
- Not able to sponsor visas for this position.
About the job
Implements and operates ML platform infrastructure, pipelines, and GPU clusters that help Boston Dynamics product and research teams deploy and improve robot capabilities.
What you'll do
- Build and maintain scalable ML infrastructure, deployment pipelines, and GPU cluster monitoring and automation.
- Deliver ML capabilities end to end, including implementation, testing, deployment, operations, and ongoing improvement.
- Profile and optimize ML data, training, and evaluation pipelines; monitor platform health and troubleshoot issues.
What they ask for
- Proficiency in Python and related ML frameworks, including PyTorch, TensorFlow, Pandas, and NumPy.
- Experience with cloud platforms, scalable ML deployment methods, and GPU cluster management and scheduling.
- Experience with CI/CD for ML pipelines, experiment tracking and model/data versioning, and scalable data and ETL pipelines.
- Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
Nice to have
- Networking fundamentals such as IAP, Tailscale, Shared VPC, and NAT; or database optimization concepts.
- Experience with TypeScript, Node, edge deployment constraints, or annotation tools such as SAM or Co-Tracker.
Pay
$150,000 to $180,000 annually (base salary)
Tools
Python, PyTorch, TensorFlow, Pandas, NumPy, GCP, AWS, Docker
AI focus
Supports advanced AI product and research activities in robotics, including scalable ML deployment, continuous model improvement, training and evaluation pipelines, and edge/robot deployment.
Model-written summary · the original posting is authoritative