NVIDIA is looking for a Senior Solutions Architecture and drive cross-functional execution for complex customer engagements. This role operates at the intersection of solutions architects, engineering, operations, and project teams to help ensure successful stability and resilicency of NVIDIA-powered infrastructure and software solutions. The ideal candidate combines strong program management discipline with technical depth, customer focus, and the ability to navigate ambiguity across fast-moving, multi-team initiatives.
What you’ll be doing:
Drive end-to-end program management for Solutions Architecture initiatives, including technical planning, milestone tracking, dependency management, risk mitigation, and stakeholder alignment.
Partner closely with solutions architects, engineering, operations, project managers, and customer-facing teams to resolve technology issues and improve the stability and resiliency of deployed AI clusters.
Build and maintain integrated schedules, status reporting, risk registers, and action tracking to ensure clear visibility and predictable execution across complex taskforce support.
Help manage cross-functional issues, technical dependencies, and escalation paths, driving timely decisions and mitigation plans when priorities shift or blockers emerge.
Improve operating rhythms, tools, and reusable processes that help the Solutions Architecture organization scale execution quality across multiple accounts and programs.
What we need to see:
Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field, or equivalent experience.
3+ years of experience in technical program management, solutions architecture, systems engineering, or a related cross-functional role.
Experience working with engineering, field, operations, and customer-facing teams in support of enterprise infrastructure, AI, HPC, cloud, or DC programs.
Strong written and verbal English communication skills, with the ability to communicate effectively with technical teams, business teams, and leadership.
Hands-on ability to troubleshoot and help resolve customer technical issues in collaboration with cross-functional teams.
Ways to stand out from the crowd:
Experience supporting AI infrastructure, accelerated computing, cluster deployment, data center, networking, or cloud solution programs.
Background working directly with solutions architects, enterprise customers, or post-sales technical delivery teams.
Advanced degree in a relevant technical discipline.
Solid technical knowledge of GPU systems and cluster architecture, or networking technologies (Infiniband network or Ethernet network)
GPU system RD or Kubernetes software RD experience
Skills Required
- Bachelor's degree in Engineering, Computer Science, Information Systems, a related field, or equivalent experience
- 3+ years of experience in technical program management, solutions architecture, systems engineering, or a related cross-functional role
- Experience supporting enterprise infrastructure, AI, HPC, cloud, or data center programs with engineering, field, operations, and customer-facing teams
- Strong written and verbal English communication skills
- Ability to troubleshoot and resolve customer technical issues collaboratively
- Experience supporting AI infrastructure, accelerated computing, cluster deployment, data center, networking, or cloud solution programs
- Experience working with solutions architects, enterprise customers, or post-sales technical delivery teams
- Advanced degree in a relevant technical discipline
- Technical knowledge of GPU systems, cluster architecture, InfiniBand, or Ethernet networking
- GPU system R&D or Kubernetes software R&D experience
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.
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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.
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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.
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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.”
