3 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Support customer-facing technical engagements with OEM and deployment partners under the guidance of senior team members.
- Help design and validate scalable architectures, integration plans, and deployment approaches for customer and partner solutions.
- Build, test, and validate solutions involving NVIDIA technologies and support partner troubleshooting and platform adoption.
- Document partner needs and technical feedback for internal product and engineering teams.
- Create or contribute to onboarding materials, demos, documentation, deployment guides, readiness frameworks, and enablement programs.
- Collaborate with engineering, product, field engineering, professional services, manufacturing, and deployment services teams.
- Contribute to AI Factory build-readiness initiatives for bringing up NVIDIA AI infrastructure.
- Travel periodically as business demands, approximately 10–20%.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 5 years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field.
- Hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
- Foundational knowledge of high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems.
- Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
- Experience with OEM, ODM, system integrator, or deployment partner ecosystems and partner enablement or technical field engagement.
- Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
- Ability to communicate technical concepts to technical and non-technical audiences and build collaborative partner relationships.
- Strong problem-solving skills, intellectual curiosity, and a passion for helping customers succeed with technology.
- Preferred qualifications include customer or partner technology adoption experience, technical enablement or deployment playbook experience, and self-directed learning in AI infrastructure, accelerated computing, or AI Factory deployment.
Benefits
- Base salary is stated as $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4.
- Eligible for equity and benefits.
- Periodic travel of 10–20% is required.
- Applications will be accepted at least until October 23, 2026.
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.