Senior Software Engineer (Perception ML)
Posted Updated
- We’re a team applying ML to push autonomy performance forward. As a Perception ML Engineer, you’ll develop and improve perception models, with ownership of modeling, training, and evaluation. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely
- Design and advance perception models that:
- Improve scene understanding from real sensor data, including 3D and spatial representations
- Generalize across sensor platforms, geographies, and rare driving scenarios
- Meet requirements for model quality and onboard inference runtime
- Tailor Your Impact:
- Applied ML Depth: Own model architecture, loss design, training, and experiments that deliver measurable perception improvements
- Collaborative Delivery: Partner with ML Data Infrastructure and autonomy engineers, contributing across the stack when needed while keeping primary ownership in modeling
- You’ll solve autonomy’s hardest perception challenges through applied ML and rigorous experimentation:
- Develop and improve perception models, making choices about architecture, representations, objectives, and training
- Design controlled experiments and ablations to understand model behavior and validate improvements
- Diagnose model failures and distinguish limitations in modeling, supervision, training data, and optimization
- Collaborate with autonomy and infrastructure engineers to turn sensor data and failure analysis into targeted model improvements
Benefits
- Free Caltrain pass and commuter benefits
- Company stock options
- Work from home opportunities
- Health insurance
- You bring perception experience, or an exceptionally strong growth trajectory with evidence of quickly building depth and delivering substantive ML results in new domains
- 4+ years of industry software engineering experience with Python fluency and C/C++ familiarity. Proven ability to lead cross-functional technical projects from design to completion
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
- You have hands-on depth in developing, training, debugging, and improving ML models
- Experience with occupancy, 3D scene understanding, or onboard perception models
- Familiarity working with synthetic or autonomous driving data