- Robot type
- Autonomous Vehicle
- Location
- BostonMassachusettsUSA
- Job type
- Artificial Intelligence
- Posted
- Oct 19, 2026
- Salary
- $240,000–$330,000 a year
Principal Software Engineer, Team Lead - Perception Platforms
Job description
On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.
These foundational systems include our large-scale data pipelines, which are critical for efficient end-to-end ML development (e.g.
Job responsibilities
- Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
- Provide technical guidance, mentorship, and career development opportunities to team members
- Define team goals, priorities, and roadmap in alignment with company objectives
- Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements.
- Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
- Foster cross-functional collaboration ensuring alignment with broader organizational goals.
Job requirements
- 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
- 2+ years of experience developing, operating, or supporting distributed machine learning training across clusters of GPU nodes.
- BS or MS in Computer Science or a related technical field.
- A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
- Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
- Proven experience in backend development and leading the architecture of complex systems.
- A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
- Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
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