- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 5+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in compute, networking, and storage hardware and software platforms.
- Deep technical expertise in system management software, operating systems, system firmware, and all the hardware infrastructure that goes with it when deployed at scale, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
- Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
- Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
- A track record of balancing empathy for partner and customer needs with the ability to drive complex product decisions through trusted relationships.
- Hands-on experience with deploying, using, and operating on-premises AI-focused solutions, including system architectures, rack-scale firmware, cluster management software, workload management software, and the associated hardware that underlies it. If you are motivated by sharing how hardware, firmware, and software all work together to build a platform, this is the role for you.
Ways to Stand Out from the Crowd
- A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
- History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
- A technical vision that influences product and engineering decisions and drives production outcomes.
- Real-world experience with cluster management tools (e.g., NVIDIA Base Command Manager, MaaS), workload orchestration software (e.g., Slurm, Kubernetes).
- Practical knowledge of system and rack-scale hardware, such as BMCs, PCIe communication, network topologies, and how they all interact.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.