Software Engineer, ML Acceleration and Performance

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions‑free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

As a Staff Software Engineer, ML Acceleration and Performance, you will be a member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety‑critical self‑driving features of our category‑defining vehicles.

• 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.

• MS. or Ph.D. in Computer Science, Electrical, Mechanical, Aerospace Engineering or a related field.
• Good understanding of the fundamentals of deep learning, heterogeneous computing, ML accelerators and compilers with 7+ years of industrial experience.
• Good team player with great communication skills to drive cross functional efforts in a fast‑paced development environment.
• 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, Tensor Flow or MXNet.
• Experience implementing inference logic from first principles using low level subroutines like BLAS, CUDA Kernels or C++ natively.
• Familiarity with ONNX runtimes and DL compilers like XLA or Glow.

Salary Range for California Based Applicants: $ - $ (actual compensation will be determined based on experience, location, and other factors permitted by law).

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.

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. 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.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candi

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