Software Engineer - Perception Algorithm
Skills
- Proficient in Python and C++ for real-time computing.
- Skilled in Linux development, debugging, and optimization.
- Experience with sensor fusion techniques including Kalman Filters and Bayesian Inference.
- Strong knowledge of probabilistic models, SLAM, and Kalman filtering.
- Familiarity with deep learning frameworks such as TensorFlow and PyTorch.
- Experience with ROS, middleware, and real-time constraints.
- Vehicle testing and data collection skills.
- Tool development for data visualization and automated evaluation.
- Excellent communication and teamwork skills.
Responsibilities
- Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera, LiDAR, and RADAR data.
- Implement and enhance vehicle localization using GNSS, IMU, LiDAR, and visual odometry.
- Design and develop occupancy grid fusion techniques for environment modeling and obstacle detection.
- Implement drivable space estimation using classical and deep learning methods.
- Develop custom tools for sensor data visualization, debugging, and algorithm evaluation.
- Write high-performance, real-time software for embedded automotive platforms.
- Collaborate with cross-functional teams for integration and robust implementation.
- Test, release, and deploy perception algorithms into production vehicles.
- Support validation and verification using prototype and pre-production vehicles.
- Propose innovative software algorithms to advance autonomous driving capabilities.
Education
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.
- 3+ years of relevant work experience or Ph.D. for senior roles.
Benefits
- Competitive medical, dental, and vision insurance.
- Life and disability insurance coverage.
- Paid vacation and 401(k) retirement plan.
- Opportunity to participate in equity and discretionary annual incentive programs.
Average salary estimate
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