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 - $190,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
