The company is looking for a leader to develop and execute motion planning and prediction projects to improve the self-driving vehicles' capability to safely navigate complex traffic scenarios.
Requirements
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
- Experience with state of the art generative AI, and/or reinforcement learning, paradigms
- Strong programming skills in C++ and/or CUDA programming
Responsibilities
- Define and execute motion planning and prediction projects
- Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
- Productionize and deploy solutions onto autonomous vehicle fleets
- Collaborate with perception, simulation, data platform and integration teams to validate and enhance products' on-road performance
- Lead, manage and grow a team of engineers
- Communicate strategies, progress and challenges to executive leadership
Other
- Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
- Proven leadership skills at executing large, complex technical initiatives
- Extensive experience managing and leading engineers
- Excellent communication and interpersonal skills
- Travel requirements not specified
- Visa requirements not specified
