Responsibilities:- Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data
- Benchmark and evaluate perception performance using quantitative metrics and testing methodologies
- Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios
Required Skills: - Proficient in C/C++
- Experience with multi-modal detection fusion and tracking algorithms
- Strong understanding of computer vision and perception systems
- Strong understanding of sensing with cameras, radars and lidars
- Excellent problem-solving skills and attention to detail
Preferred Skills:- Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field
- Experience with perception systems in autonomous vehicles or robotics
- Hands-on experience deploying machine learning models into production environments
- Proficiency in deep learning frameworks like TensorFlow or PyTorch
- Experience with real-time systems, parallel computing, and optimization techniques
- Strong knowledge of data structures, algorithms, and software design patterns
Salary Range:- $150,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.