Rivian is looking to develop advanced machine learning algorithms for safety-critical self-driving features in their vehicles, requiring optimization and performance improvements for embedded platforms.
Requirements
- Good understanding of the fundamentals of deep learning, heterogenous computing, ML accelerators and compilers with 7+ years of industrial experience.
- Research and development experience in one or more of the following areas: model compression and neural architecture search techniques knowledge distillation, pruning, quantization and quantization aware training optimizing and deploying inference on various embedded processors
- optimizing and deploying inference on various embedded processors
- Experience defining compute architecture for efficient Deep learning inferencing.
- Capability to understand hardware spec documents and performance profiling tools.
- Strong Python programming background and in-depth knowledge of at least one framework amongst PyTorch, TensorFlow or MXNet
- Experience implementing inference logic from first principles using low level subroutines like BLAS, CUDA Kernels or C++ natively.
Responsibilities
- Develop, optimize and deploy ultra-low latency Deep learning/Machine Learning algorithms for Rivian ADAS and Autonomy use cases.
- Research state of the art model compression and efficient model design techniques and enable the team to leverage these across a wide range of customer facing features.
- Collaborate with the low-level software and hardware architecture teams to characterize the in-house ML models on our embedded platforms and optimize the models subject to the on device compute and memory constraints.
Other
- Good team player with great communication skills to drive cross functional efforts in a fast-paced development environment.
- MS. or Ph.D. in Computer Science, Electrical, Mechanical, Aerospace Engineering or a related field.
- Salary Range for California Based Applicants: $179,000.00 - $285,000.00
- Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment
- All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
