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Principal Engineer for AI Systems
2 months ago
NVIDIA is seeking a highly skilled Principal Engineer to lead the development of AI software resiliency for our most powerful AI supercomputers.
Key Responsibilities- Develop and implement critical resiliency features to support frontier model training at scale.
- Drive down cluster downtime towards zero, ensuring robust and reliable AI systems.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related field from a reputable institution.
- Minimum of 10 years of experience in systems architecture or related fields, with a deep understanding of distributed systems and large-scale AI infrastructure.
- At least 10 years of hands-on experience in software development for distributed systems and 5 years in developing AI frameworks such as PyTorch or JAX/XLA.
NVIDIA is a leader in the field of AI and deep learning, and we are committed to fostering a diverse and inclusive work environment.
We are recognized as one of the world's most desirable technology employers, home to some of the most forward-thinking and hardworking people in the world.
We are dedicated to pushing the boundaries of innovation and excellence in AI research and development.
