
Software Development Engineer - ADAS Parking Feature
The posted salary range reflects compensation for our Newark, CA office. This role requires employees to be onsite five days a week.
Role:
· Transform complex real-world corner case problems into scalable, parallelized solutions
· Implement and maintain real-time trajectory planning in dynamic environments
· Construct and prototype advanced machine learning algorithms for data-driven parking behavior
· Design, implement, test, and release different level of safety features for Lucid production programs
· Evaluate and improve the performance of parking motion planner software stack using simulation and in-vehicle testing
· Optimize parking planner software stack by profiling and identifying bottleneck
· Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems
· Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles
Required Qualifications:
· Bachelor's degree Computer Science, Robotics, ML or equivalent experience
· Experiences implementing production level trajectory planning software modules
· Proficiency in C++ and hands-on SWE design skills
· Comfortable with fundamentals of physics, kinematics, and dynamics
· Excellent communication skills and willingness to learn
Preferred Qualifications:
· Masters or higher degree preferably in Computer Science, Robotics, or related field
· Experience in AV motion planning and vehicle controls
· Experience developing real-time systems
· Hands-on experience testing complex AV systems on real-world platforms
· Familiarity with Python, PyTorch, TensorRT, ROS2, QNX, git, CI/CD
Base Pay Range (Annual)
$128,800 - $177,100 USD
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