On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users.
We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.
What You’ll Be Doing:
- Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
- Lead, manage and grow a team of engineers
- 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 your products’ on-road performance
- Communicate strategies, progress and challenges to executive leadership
What We’re Looking for:
- 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
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries
- Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
- Excellent communication and interpersonal skills
Bonus Points:
- 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
- Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
- Strong programming skills in C++ and/or CUDA programming
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting