Senior Machine Learning Engineer, AI Infrastructure, Autonomy

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.

Role Summary

We are looking for a full-time Machine Learning 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.

Responsibilities

• 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.

Qualifications

• PhD in CS/CE/EE, or equivalent, in industry experience.
• Deep knowledge of PyTorch.
• Experience with Cuda or Triton language for writing custom ops.
• Knowledge of model training framework (e.g. PyTorch Lightning).
• 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 speed.

Preferred Qualifications:

• Previous experience in the autonomous driving industry.
• Knowledge of Nvidia TensorRT.
• Experience with edge computing systems.
• Knowledge of model optimization including quantization, pruning, etc.

Equal Opportunity

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 candidateaccommodations@rivian.com.