Tech Lead - Manager - ML training and infrastructure, Autonomy in Camden

About Rivian
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.
Role Summary
As a Tech Lead - Manager - ML training and infrastructure, 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.
We are looking for candidates with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training and inference of large autonomous driving models; and optimizing the training and inference performance
Responsibilities
Optimize the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale
Optimize the latency of model inference and model pre- and post-processing on onboard systems
Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data
Drive architectural decisions, design reviews, and engineering standards across the team to ensure scalability, security, and maintainability.
Identify technical dependencies and operational bottlenecks early, unblocking team members to maintain high execution momentum.
Establish and enforce team guidelines for code reviews, testing, deployment, and operational excellence.
Qualifications
PhD in CS/CE/EE, or equivalent, in industry experience
Deep knowledge of PyTorch, TrensorFlow or Jax
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 models and doing detective work to improve model training and inference speed
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
Candidate Data Privacy and Technology
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