Lead Technical Product Manager — Machine Learning Platform
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Build automation and operational tooling for GPU infrastructure supporting bare-metal provisioning, hardware validation, cluster lifecycle management, and production reliability. You'll diagnose failures across servers, GPUs, networking, and Kubernetes; work with BMC and Redfish interfaces; and collaborate across teams on incident response and permanent solutions. Requires 8+ years in production infrastructure with substantial bare-metal experience, strong Go or Python skills, direct experience with NVIDIA GPU hardware and BlueField DPUs, and Linux expertise. Based on location and experience, salary ranges from $184,000 to $287,500 USD.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS.
What makes this opportunity outstanding is the chance to work with innovative technology to develop the future of AI computing. Join us to be part of a world-class team and make an impact on the next era of computing! At NVIDIA, you’ll help make next-generation AI infrastructure production-ready at scale!
What you’ll be doing:
What we need to see:
Ways to stand out from the crowd:
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
189K – 287K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 51 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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