27 days ago
Santa Clara, CA, USASenior / Mid Level
Base Salary
$175k - $296k/yr
Responsibilities
- Research and develop deep learning algorithms for an end-to-end onboard model integrating perception, prediction, and planning.
- Develop Vision-Language-Action models for multimodal decision-making.
- Enhance online mapping and 3D detection models to address real-world challenges.
- Design and optimize neural network architectures for real-time execution.
- Develop offline ML infrastructure for large-scale training and self-improvement.
- Deliver production-quality onboard software in collaboration with sensor fusion and mapping teams.
- Leverage real-world datasets to train and refine driving models.
- Conduct large-scale experiments to benchmark model performance.
- Collaborate with engineers to deploy deep learning models on automotive hardware.
- Work cross-functionally to advance end-to-end learning in autonomous mobility.
Requirements
- MS or PhD in Engineering or Computer Science focused on Deep Learning or AI.
- Strong experience in applied deep learning, including model architecture design and training.
- 1-3 years of experience with deep learning frameworks like PyTorch or TensorFlow.
- Proficient in Python programming with software design skills.
- Solid understanding of data structures, algorithms, and large-scale data processing.
- Excellent problem-solving skills.