Senior Machine Learning, AI Infrastructure, Autonomy

Rivianis 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.

We are looking for a full-time Senior ML, AI Infra Engineer, with deep knowledge and strong

enthusiasm towards establishing a state-of-art AI infrastructure for training very large

foundation models and accelerating model training/inference.

Our mission is to solve the autonomous driving problem. You will work with a team of talented

software engineers, machine learning engineers and research scientists to push the boundary

of state-of-art machine learning models which will enable the next-generation E2E solution of

autonomous driving

We are looking for a full-time Senior ML, AI Infra Engineer, with deep knowledge and strong
enthusiasm towards establishing a state-of-art AI infrastructure for training very large
foundation models and accelerating model training/inference.
Our mission is to solve the autonomous driving problem. You will work with a team of talented
software engineers, machine learning engineers and research scientists to push the boundary
of state-of-art machine learning models which will enable the next-generation E2E solution of
autonomous driving

• Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles
• Improve ecosystem for training infrastructure and deployment pipeline to accelerate model iteration and improve performance.
• Provide thorough, constructive code reviews that enforce ML engineering standards, security practices, and performance optimization

• PhD in CS/CE/EE, or equivalent, in industry experience
• Deep knowledge of Py Torch
• Experience with CUDA or Triton language for writing custom ops
• Knowledge of model training framework
• In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models
• Experience of performing large scale distributed training of models
• A track record of profiling model and doing detective work to improve model training and inference spee

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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