
Sr. Software Engineer, Motion Planning, Autonomy
- Palo Alto, CA
- Permanent
- Full-time
Role SummaryYou will be part of deep learning experts and developers using data from the Rivian fleet to build systems that understand the world and make decisions in context. Real world driving is complex and requires reasoning accounting for multi-modal and probabilistic future possibilities. We use Machine Learning with millions of miles of driving data to power these workflows and are looking for an ML engineer who will lead and develop the AI strategy across a variety of projects. Most importantly, your work will have a critical impact on the daily experience and safety of our customers, which is critical to the mission at Rivian.If you enjoy Machine Learning, data mining, and experimentation then come join us!
Responsibilities
- Examining novel algorithms from a research standpoint, delving into prototyping, validating, and iteratively refining them.
- Taking charge of optimizing, supervising, and enhancing on-road performance for models moving towards production during the development phase.
- Recognized as a key technical authority within the department, offering guidance on current and future technology decisions.
- Possessing an in-depth grasp of the business and operational implications of various technology tradeoffs, effectively balancing them according to the company's needs.
- Empowering fellow engineers by crafting easily extendable and collaborative designs and code.
- Displaying the ability to influence and foster consensus, even during challenging technical discussions.
- M.S. or Ph.D. in Machine Learning or a related field
- 5+ years of experience working on production ML systems.
- Expert level knowledge and experience Python and PyTorch or TensorFlow
- Solid understanding of state-of-the-art models and approaches or perception, prediction, or planning in the self-driving space.
- Capable of working in a fast-paced development environment
- Good team player with great communication skills that can build team consensus.
- Passionately motivated to take ideas from development validation to a verified product
- Self-motivated: Demonstrated ability to set direction and guide the team towards it
- Hands-on approach: Proactively identifies and fills in gaps where needed.
- Good understanding of linear algebra, geometry, algorithms, and data structures
- Experience with Automotive Self-Driving or similarly complex Robotics Systems.