$184,000 – $345,000
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a team of solutions architects and engineers deploying NVIDIA's GPU and AI infrastructure at scale, guiding initial customer deployments from prototype to production while bridging engineering and field operations. This role suits someone with deep systems expertise who thrives mentoring technical teams through complex technical challenges and customer engagements.
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
- Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, Physics or equivalent experience
- 8+ years in Systems/Solutions/Field Engineering, Network Engineering, or Data Center Engineering
- 2+ years leading or mentoring engineers or architects
- System-level expertise in CPU/GPU server architecture, NICs, Linux, system software and kernel drivers
- Data center networking experience with Ethernet and/or InfiniBand switches and fabrics
- Ability to lead technical teams, set priorities, and drive complex projects
- Communication skills for customer meetings, design documentation and presentations
Nice to have
- Direct people management and recruiting experience with distributed teams
- Track record leading large cluster or supercomputing bring-up and deployment
- Customer-facing field engineering or architecture background
- Systems engineering, coding and debugging skills including C/C++
- Hands-on experience with NVIDIA GPU systems, SDKs, networking technologies and ARM-based solutions
- Familiarity with virtualization and cloud-native networking concepts