Senior SRE Engineering Leader

2 weeks ago

Santa Clara, California, United States NVIDIA Full time
Senior SRE Engineering Leader

NVIDIA is a pioneer in the AI revolution, driving innovation in industries with our cutting-edge GPU technology. Our GPUs power groundbreaking advancements in AI, from self-driving cars to innovative research in computer vision, speech recognition, and more.

We're seeking visionary leaders to join us on an exciting journey as Senior SRE Engineering Leader. As a key member of our team, you will lead our globally distributed clusters, ensuring seamless operations and delivering AI services that drive breakthroughs in areas such as life sciences and natural language processing.

As SRE Leader, you will design and implement processes, tools, and systems that transform our massive operational experience into an overall improvement to the ecosystem. You will also help improve the design of our next-gen GPUs, our tooling and software stack, and how we build and operate large-scale GPU clusters.

Key Responsibilities:

  • Manage distributed, multi-location GPU clusters for AI research.
  • Lead a team of SREs, driving cluster operational excellence and efficiency.
  • Deliver scalable distributed systems and AI services in fast-paced environments.
  • Build strong, globally distributed teams and drive technical strategy.
  • Collaborate across the company to improve the GPU ecosystem for AI use cases.
  • Solve reliability, efficiency, and productivity challenges for GPU infrastructure.
  • Define strategy, manage projects, and drive technical leadership across multiple areas.
  • Collaborate with internal stakeholders to ensure transparency on budget and operational efficiency.

Requirements:

  • 10+ years in engineering management; 3+ in leadership roles.
  • Bachelor's or Master's in Computer Science or a related field, or equivalent experience.
  • Experience supporting AI/ML workloads and driving operational standard methodologies.
  • Strong Unix/Linux knowledge and proficiency in at least two programming languages (Perl, Python, Go).
  • Expertise in managing large-scale distributed systems and AI/HPC environments.
  • Leadership experience, mentoring, and coaching skills.
  • Ability to quickly learn and integrate new technologies.
  • Strong collaboration skills across engineering, server, storage, and security teams.

Preferred Qualifications:

  • Experience with Machine Learning and Deep Learning concepts, algorithms, and models.
  • Familiarity with InfiniBand, RDMA, Slurm, LustreFS, BCM.
  • Familiarity with deep learning frameworks like PyTorch and TensorFlow.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most experienced and versatile people in the world working for us, and our extraordinary engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

The base salary range is $272,000 USD - $419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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