$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is seeking a hands-on architect to operationalize GPU computing products at scale, working with HPC systems, deep learning software, and research teams to solve complex deployment and performance challenges. The role suits experienced engineers who combine systems administration expertise with strong programming skills and a track record supporting high-performance computing environments.
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
- 8+ years of accelerated computing experience in datacenter/HPC environments
- Understanding of accelerated computing scheduling and I/O stacks
- C/C++/Python/Bash programming and scripting
- Experience supporting engineering or academic research in HPC or deep learning
- Parallel filesystem experience
- BS or equivalent in Engineering, Mathematics, Physics, or Computer Science
Nice to have
- Deep Learning framework skills
- Experience with telemetry and visualization pipelines
- Exposure to container technology and Linux performance tools
- MS or PhD degree