NVIDIA is seeking a Senior Technical Program Manager to join the CSP Engagements team, focused on deep technical engagement with hyperscale cloud service providers for NVIDIA’s next‑generation datacenter systems such as Vera Rubin NVL72. This role is intended for experienced systems and embedded software leaders—including software engineering managers, technical leads, or senior architects—who have led datacenter server and platform software programs and can operate as a trusted technical partner to hyperscale CSP engineering teams.
As a member of the CSP Engagements team, you will act as the primary technical engagement leader between NVIDIA’s system software organizations and CSP platform, system software, and AI teams, ensuring alignment, readiness, and successful large‑scale deployment of NVIDIA‑based datacenter solutions.
What you will be doing:
Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products.
Partner directly with CSP system software, firmware, and infrastructure engineering leaders to align on software architecture, bring‑up plans, deployment readiness, and production requirements for NVIDIA‑based server and rack‑scale platforms.
Represent CSP technical priorities internally, advocating for customer requirements and tradeoffs across NVIDIA’s system software, firmware, hardware, silicon, and product teams are aligned to customer needs, timelines, and constraints.
Own the end‑to‑end CSP engagement lifecycle, from early technical alignment and pre‑production readiness through large‑scale deployment, escalation management, and sustained production support.
Drive bi‑directional technical communication: translating CSP system‑level requirements into actionable focus areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities, tradeoffs, and limitations back to customers.
Proactively identify and manage cross‑company technical risks affecting CSP deployments, including OS enablement, firmware maturity, observability, reliability, and hardware/software integration challenges.
Support rack‑scale and multi‑rack datacenter deployments by working closely with CSP infrastructure teams and NVIDIA engineering stakeholders to ensure system software readiness and operational success at hyperscale.
What we need to see:
This role requires strong technical depth and leadership credibility in systems software.
Strong background in systems or embedded software, with experience across Linux kernel/drivers, server firmware (BMC/BIOS/UEFI), or datacenter platform bring‑up and hardware/software interfaces.
Demonstrated technical leadership as a software engineering manager, technical lead/architect, or senior systems/platform engineer leading large cross‑functional efforts.
Demonstrated experience delivering datacenter server software or rack scale systems, not application only or SaaS only software.
Experience working directly with hyperscale CSP engineering teams on deep technical topics, including bring up, performance, reliability, observability, and deployment readiness.
Strong ability to operate as a technical leader and influencer, aligning senior engineers, architects, and executives across organizational and company boundaries.
BS or MS in Computer Engineering, Computer Science, or equivalent experience.
10+ years of experience in systems software, embedded software, or datacenter server development, including leadership responsibility
Ways to stand out from the crowd:
Direct experience with NVIDIA GB200 and/or GB300 platforms, including hands‑on or leadership involvement in system software, firmware, or platform enablement efforts.
Experience driving or supporting CSP-facing engagements specifically for NVIDIA datacenter platforms, translating GB200 / GB300 software and firmware capabilities into production‑ready solutions.
Familiarity with the end‑to‑end NVIDIA data center software stack, including system software bring‑up, platform integration, observability, reliability, and deployment considerations at hyperscale.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you!
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking outstanding individuals like you to help us drive the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Strong background in systems or embedded software (Linux kernel/drivers, firmware, hardware/software interfaces).
- Experience with server firmware (BMC, BIOS, UEFI) and datacenter platform bring-up.
- Demonstrated technical leadership as a software engineering manager, technical lead/architect, or senior systems/platform engineer.
- Experience delivering datacenter server software or rack-scale systems (not application-only or SaaS).
- Experience working directly with hyperscale CSP engineering teams on bring-up, performance, reliability, observability, and deployment readiness.
- Ability to influence and align senior engineers, architects, and executives across organizations and companies.
- BS or MS in Computer Engineering, Computer Science, or equivalent experience.
- 10+ years of experience in systems software, embedded software, or datacenter server development including leadership responsibility.
- Direct experience with NVIDIA GB200 and/or GB300 platforms (hands-on or leadership involvement).
- Experience driving or supporting CSP-facing engagements specifically for NVIDIA datacenter platforms.
- Familiarity with the end-to-end NVIDIA datacenter software stack (bring-up, integration, observability, reliability at hyperscale).
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
