30 days ago
Santa Clara, CA, USASenior
Base Salary
$150k - $250k/yr
Responsibilities
- Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
- Benchmark perception models with large-scale datasets and quantitative metrics.
- Collaborate with research, data, and deployment engineers to refine models and support real-world applications.
- Improve model performance, robustness, and scalability for production deployment.
- Perform work according to the company’s Quality Management System requirements and contribute to continuous improvement.
- Ensure team compliance with QMS, monitor quality, and drive process improvements.
Requirements
- Ph.D. or master’s degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
- Ph.D. new graduate or master’s degree with three years of industry experience.
- Proficiency in Python and experience building deep learning pipelines.
- Strong expertise in PyTorch, TensorFlow, or JAX.
- Proven experience with LiDAR-based 3D perception and BEV representation models.
- Deep understanding of multimodal sensor fusion architectures and techniques.
- Familiarity with camera, LiDAR, and radar modalities, including their synchronization, calibration, and integration in perception pipelines.
- Solid foundation in computer vision, deep learning, and 3D geometry.
- Preferred qualifications include industry or academic experience in autonomous vehicle perception or robotics, hands-on experience developing deep learning models in real-world or production environments, and experience with distributed training, high-performance computing, or GPU acceleration.
Benefits
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package, including a 401(k) plan.
- Opportunities for personal and professional development in a future-oriented autonomous driving and physical AI environment.
Categories
ML EngineeringRobotics
