Lead Perception Engineer
Tasks
- Build reusable software components
- Define perception mapping and fusion strategy
- Design validation strategies for component system interactions
- Develop deep learning models for driving environments
- Drive metrics for performance safety and quality
- Drive world understanding roadmap
- Implement data driven validation strategies
- Implement simulation continuous integration code review HIL testing and vehicle testing
- Improve model iteration speed and cost efficiency
- Lead project execution and engineering processes
- Maintain functional architecture design and lead technical design reviews
- Mentor engineers through code reviews and knowledge sharing
- Mitigate technical program risks
- Publish research and patents presentations
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Code review | Computer Vision | Continuous integration | Data Validation | Deep learning | Hardware-in-the-loop | Machine Learning | Model Deployment | Model Training | Model Validation | Model-Predictive Control | Multi-modality | Multi-task Learning | Predictive control | Python | Real Time | Real-time Systems | Reinforcement Learning | Sampling-based Planning | Sensor fusion | Sequential modeling | Simulation | Supervised Learning | Temporal modeling | Testing | The Loop | Time Systems | Trajectory Optimization | Unsupervised Learning
Education
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