Motional
Principal Software Engineer, Team Lead - Perception Platforms
$240K–$330K
Boston, Massachusetts, United States +7 · Remote · Principal · Full-time · Posted Oct 19, 2026
- Location
- Boston, Massachusetts, United States
Las Vegas, Nevada, United States
Pittsburgh, Pennsylvania, United States
Remote U.S.
Boston, Massachusetts, United States
Las Vegas, Nevada, United States
Pittsburgh, Pennsylvania, United States
Remote U.S. - Experience
- 7+ years of professional software engineering; at least 3+ years in a formal or informal leadership or mentorship role; 2+ years supporting distributed ML training across GPU-node clusters.
- Education
- BS or MS in Computer Science or a related technical field.
About the job
Leads a team building and improving the data, training, evaluation, and visualization platforms that support perception machine learning for autonomous vehicles.
What you'll do
- Build and lead a team maintaining and optimizing perception data, training, and evaluation pipelines.
- Set team goals and roadmap; mentor team members and guide technical decisions.
- Collaborate with ML engineers, contribute production code, and lead design and code reviews.
What they ask for
- 7+ years of professional software engineering experience, including at least 3+ years in a formal or informal leadership or mentorship role.
- 2+ years developing, operating, or supporting distributed machine learning training across clusters of GPU nodes.
- BS or MS in Computer Science or a related technical field.
- Fluency in Python; experience in backend development and complex systems architecture.
Nice to have
- Experience with distributed computing frameworks like K8s and Ray.
- Experience with current LLMs and MCP protocols.
Pay
$240,000 — $330,000 USD (base salary)
Tools
Python, NumPy, Pandas, K8s, Ray, C++14/17, Pytorch, TensorFlow
AI focus
Supports perception ML development through data pipelines, distributed training, evaluation and visualization tools, and active learning; bonus experience includes products using current LLMs and MCP protocols.
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