NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. NVIDIA NVLink Fusion will enable industry-leading AI scale-up and scale-out performance with NVIDIA technology plus semi-custom ASICs or CPUs. NVIDIA’s robust partner ecosystem enables hyperscalers to build an ASIC hybrid AI infrastructure with NVIDIA NVLink, rack-scale architecture. We're searching for a highly motived, technical architect to champion work across NVIDIA's Software, Architecture, Networking and Systems engineering teams in defining the architecture for NVLink Fusion. Ensuring we have seamless integration of partner ASICs/CPUs into our rack-scale architecture. Establishing the necessary abstraction layers, guidance/documentation and SW engagement models to make both NVIDIA & its partners successful.
What you’ll be doing:
Define NVLink Fusion architecture, leveraging industry leading NVIDIA scale-up and scale out technologies as a foundation
Establish appropriate software abstraction layers & reference software required for NVLink Fusion partners to extend NVIDIA's rack-scale architecture.
Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA’s roadmap.
Work with business partners and vendors to shape their products to meet NVIDIA’s needs.
Mentor architects and engineering teams to grow them into future leaders.
Make key technical decisions even when faced with ambiguity, and mitigate execution risks by following left shift strategy to accelerate time to market.
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
16+ years in the area of System architecture and design
Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface.
Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs
Expertise in out-of-band and in-band management architectures.
Knowledge of device management protocols such as MCTP, PLDM and RDE.
Knowledge of system management protocols such as Redfish and IPMI.
Demonstrable experience in implementing left shift strategy to de-risk program execution. Excellent written and verbal communication skills.
Ways to stand out from the crowd:
Knowledge of cloud and cluster level deployment and management systems.
Participation and contributions in standards bodies such as OCP and DMTF.
Familiarity with CXL, UCIE and other C2C technology architectures. Knowledge in storage and networking technologies.
We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and hardworking people in the world working for us. So if you're clever, creative, and driven, we'd love to have you join the team.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.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 a diverse 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
- BS or MS degree in Computer Engineering, Computer Science, or related degree
- 16+ years in the area of System architecture and design
- Deep experience in designing architecture for scalable and performant server systems
- Experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs
- Expertise in out-of-band and in-band management architectures
- Knowledge of device management protocols such as MCTP, PLDM and RDE
- Knowledge of system management protocols such as Redfish and IPMI
- Experience implementing left shift strategy to de-risk program execution
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.”
