Job Description
The Senior Staff Software Engineer will develop and optimize sensor fusion and localization algorithms for autonomous vehicles, ensuring accurate real-time positioning in diverse environments. The role involves collaboration with cross-functional teams, testing, and integrating advanced localization techniques to support autonomous middle-mile logistics operations.
Key Responsibilities
- Design, develop, and optimize sensor-based localization and odometry algorithms for autonomous vehicles.
- Implement sensor fusion algorithms utilizing IMU, GPS, Lidar, and other sensors to create a robust localization pipeline.
- Develop and integrate real-time SLAM techniques for structured and unstructured environments.
- Collaborate with perception, mapping, and control teams to integrate localization outputs into the autonomous driving stack.
- Conduct testing and validation of localization solutions in simulation and real-world scenarios, including challenging environments.
- Analyze and debug localization issues, implementing improvements based on field data and feedback.
- Research and incorporate state-of-the-art localization techniques to enhance system accuracy and efficiency.
- Contribute to performance benchmarking, tuning, and continuous system improvements to meet real-time requirements.
Requirements
- M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
- 6 years industry experience writing C software in a production environment, including architecture design, unit testing, code review, and algorithm performance trade-offs.
- 2 years of experience in the autonomous vehicle (AV) or Advanced Driver Assistance Systems (ADAS) industries.
- Experience in developing localization algorithms for autonomous vehicles or robotic systems, with a strong focus on GPS-IMU sensor fusion and SLAM.
- Proficiency in C and Python programming languages, with hands-on experience in ROS and ROS2.
- Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and non-linear optimization.
- Practical experience in processing large-scale and real-world data sets.
- Experience implementing mathematical principles effectively in software.
- Expert-level knowledge of SLAM, GNSS, and INS technologies.
- Experience with sensor fusion and sensor calibration techniques, particularly integrating IMU, GPS, and Lidar data for enhanced localization accuracy.
- Experience with performance optimization and real-time system requirements.
Benefits & Perks
Salary Range: 180,000-250,000 USD
Work schedule: Onsite 5 days a week
Work environment perks: Collaborative, inclusive, and diverse company culture emphasizing respect and agility
Additional benefits: Opportunities for growth and success within a resilient and innovative supply chain environment, commitment to diversity and inclusion
Ready to Apply?
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