3 days ago
Base Salary
$184k - $288k/yr
Responsibilities
- Serve as a trusted technical advisor by mapping customer workloads to NVIDIA’s technology stack.
- Co-design scalable architectures with OEM and deployment partners, including technical direction, integration milestones, and deployment plans.
- Design, validate, support, and troubleshoot solutions for customers and partners.
- Lead AI Factory build execution engagements, including technical readiness, deployment validation, and issue resolution.
- Identify partner needs and communicate gaps that inform NVIDIA product and engineering priorities.
- Drive technical enablement, platform adoption, and integration of NVIDIA SDKs, frameworks, and systems.
- Collaborate with engineering, product, services, field engineering, professional services, manufacturing, and deployment services teams.
- Travel to field engagements, partner sites, and deployment activities as needed.
Requirements
- Bachelor’s or master’s degree or equivalent experience in computer science, engineering, or a related field.
- 8+ years of professional experience spanning software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
- 3–5+ years of direct hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems.
- Deep expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems.
- Experience driving product integrations and contributing to software and hardware platforms, systems, and libraries.
- Experience with OEM, ODM, system integrator, or deployment partner ecosystems and large-scale technical field engagement or platform adoption.
- Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
- Ability to communicate complex technical concepts to technical and non-technical audiences, including C-level executives.
- Strong problem-solving skills, intellectual curiosity, customer empathy, and the ability to drive complex product decisions.
- Experience with AI Factory deployments, accelerated computing, rack-scale AI infrastructure, deployment playbooks, execution frameworks, or readiness programs is preferred.
Benefits
- Base salary range of 184,000 USD to 287,500 USD, with additional equity and benefits.
- Up to 50% travel is required for field engagements, partner sites, and deployment activities.
- Applications will be accepted at least until October 16, 2026.
- This posting is for an existing vacancy.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.