$168,000 – $258,750
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the integration of large-scale GPU computing systems into datacenter environments, coordinating across engineering teams to deploy NVIDIA's AI supercomputing architectures with careful attention to power, cooling, and operational requirements. It suits someone with hands-on experience in high-performance computing infrastructure who can bridge technical complexity with program management at enterprise scale.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- BS in Applied Science or Engineering or equivalent experience
- 8+ years of overall experience
- Experience with high-performance computing systems and GPU clusters in on-premises datacenters
- Understanding of challenging technical problems and ability to drive solutions
- Strong teamwork and interpersonal skills for cross-team coordination
Nice to have
- Knowledge of datacenter design including power and cooling technologies
- Expertise in system monitoring and instrumentation using Prometheus, Grafana, Splunk, Modbus, or BACNet
- Experience working with engineering or academic research communities in high-performance computing or deep learning