Lead Perception Engineer
Tasks
- Build component and system validation strategies for complex interactions
- Collaborate cross functionally to influence technical decisions and integration
- Design reusable software components for integrated systems
- Develop deep learning models for driving environments
- Drive engineering metrics for performance safety and quality
- Drive technical vision and multi year strategy for vehicle world understanding
- Implement maintainable software practices including simulation continuous integration code review and HIL testing
- Increase model iteration speed with cost efficiency
- Lead project execution and engineering process definition
- Maintain functional architecture design and lead technical design reviews
- Mentor engineers through code reviews knowledge sharing and collaboration
- Mitigate technical risks
- Publish research via papers patents and presentations
- Use data driven approaches to improve safety and performance
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Camera Calibration | Code review | Computer Vision | Continuous integration | Deep learning | Depth Estimation | Diffusion Models | Gaussian Splatting | HIL Testing | Hardware-in-the-loop | Hardware-in-the-loop Testing | In-vehicle testing | Localization and mapping | Loop Testing | Machine Learning | Model-Predictive Control | Motion Planning | Multi-modality | Multi-task Learning | Multi-view Geometry | Neural radiance fields | Planner ML | Predictive control | Python | Radiance Fields | Reinforcement Learning | Robot Motion Planning | Sampling-based Planning | Sequential modeling | Simulation | Simultaneous Localization and Mapping | Supervised Learning | Temporal modeling | Trajectory Optimization | Unsupervised Learning | Vehicle Testing
Education
Regions
Countries
States
Cities
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