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Principal Software Engineer for AI Resiliency
2 months ago
We are seeking a highly skilled Principal Engineer for AI Software Resiliency to join our team at NVIDIA. As a key member of our organization, you will play a pivotal role in defining and implementing critical resiliency features for AI supercomputers at a scale of 100,000+ GPUs.
Key Responsibilities- Develop and lead the execution of software resiliency features, including fast checkpoint-recovery, automatic error detection, error isolation, SDC detection and mitigation, and straggler/hang detection.
- Collaborate with multiple teams and stakeholders across NVIDIA to align on mission requirements, provide regular updates, and ensure the successful integration of resiliency features into AI frameworks like PyTorch and JAX/XLA.
- Partner with TPMs, PMs, and QA teams to ensure the timely and successful launch of resiliency features.
- Develop and maintain large software codebases, ensuring high code quality, rigorous testing, and solving complex challenges.
- Lead others by example, fostering a culture of collaboration, innovation, and continuous improvement.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related field from a reputed institution, or equivalent experience.
- A 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.
- Proven track record of working effectively across multiple engineering fields and communicating complex technical concepts to a diverse set of collaborators.
- Experience with large-scale AI supercomputing applications, including in-depth knowledge of AI workload training and inference requirements.
- A strong passion for developing AI-specific system architectures, including CPUs, GPUs, memory, storage, and networking.
- Hands-on involvement in the design, development, and deployment of large-scale AI supercomputers.
- Practical experience in adopting and implementing high-performance computing (HPC) software development in large-scale environments.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We offer a competitive salary range of $272,000 - $419,750 USD, based on location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.
