Senior Principal Engineer
Motional
π΅ $146k-$266k
πRemote - Worldwide
Please let Motional know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join Motional's Prediction team and contribute to the development of cutting-edge deep learning architectures for autonomous vehicles. You will design and iterate on models for scene understanding and behavioral prediction, analyze extensive self-driving datasets, and collaborate with cross-functional teams. Opportunities exist for Senior and Principal Engineers, each with specific responsibilities and experience requirements. The roles involve deploying solutions to autonomous vehicles, leading technical initiatives, and fostering a culture of innovation. Remote work options are available within the United States, and competitive compensation and benefits packages are offered.
Requirements
- Bachelor's, Master's, or Ph.D. degree in Machine Learning, Robotics, Computer Science, Mechanical Engineering, Applied Mathematics, or a related field
- Experience designing, training, analyzing, and deploying neural networks with PyTorch or other modern deep learning frameworks
- 5+ years of professional software development experience
- Prior experience in autonomous vehicles or related robotics field
- Experience owning and leading technical development on features from problem formulation through implementation, testing, and real-world deployment
- 3+ years of software development experience
- 7+ years of software development experience
Responsibilities
- Design and iterate on the latest deep learning architectures for scene understanding and behavioral prediction
- Perform deep analysis of our extensive self-driving datasets to ensure critical data is well represented in our model training
- Work with adjacent perception, planning, and mapping teams to ensure our behavioral models integrate seamlessly into the entire AV stack
- Collaborate with our inference acceleration engineers to ensure model deployment remains fast and scalable to future vehicle platforms
- Work with our evaluation and systems engineering teams to test model releases on critical driving behaviors, both in simulation and on the road
- Help create and reinforce a culture of inclusion, innovation, and excellence
- Develop a variety of deep learning algorithms for scene encoding and behavior prediction, with code contributions in both Python and C++
- Lead and maintain efficient training and testing pipelines to optimize end-to-end deployment time
- Deploy solutions directly to our autonomous vehicles and work with partner teams to analyze their impact
- Drive goal achievement for the prediction team consistently
- Define technical roadmap for cutting-edge prediction and scene encoding systems, primarily using machine learning
- Lead cross-team efforts and serve as a lead engineer directly responsible for landing large, multi-quarter initiatives involving the work of several engineers
- Contribute toward building a high-performing team, serving as a role model to those around you in at least one technical area and one behavioral area
- Provide a vision for not only our team but surrounding teams as well
Preferred Qualifications
- 2+ years of Deep Learning product development experience
- 1+ years of C++ software development experience
- Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
- Experience mentoring and collaborating with others
- 4+ years of Deep Learning product development experience
- 2+ years of C++ software development experience
- Effectiveness at leading and executing large, complex technical initiatives
- Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
- Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, CoRL, IROS, ICRA, etc.)
- Strong programming skills in C++ and/or CUDA programming
Benefits
- This opportunity can support remote work within the United States, with occasional travel
- Medical, dental, vision
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
- This role may include additional forms of compensation such as a bonus or company equity
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