Are you passionate about shaping the future of data center CPU platforms? NVIDIA is looking for a Solutions Architect experienced in Arm-based server CPUs to join our dynamic team in Santa Clara, CA. Act as the technical liaison for NVIDIA’s CPU portfolio with cloud partners, encouraging adoption and improving next-generation cloud instances and services. This role offers a chance to be part of a team that values innovation and collaboration while advancing performance and scalability benchmarks.
What you’ll be doing:
As an expert on our data center CPU portfolio, you will work alongside NVIDIA Cloud Partners (NCPs) as we develop and run hosted AI services. Together, we will architect and validate multi-tenant cloud infrastructure based on ARM server CPUs, actively influencing reference architectures, our CPU roadmap, and deployment guides to ensure top-tier performance, scalability, and multi-tenancy.
Workload Migration & Ecosystem Readiness: We will guide customers through the porting and optimization of x86 workloads to ARM while collaborating with ISVs and open-source communities to guarantee application readiness across our entire software stack.
Performance Tuning & Issue Resolution: We will implement rigorous performance analysis and benchmarking of key cloud workloads, partnering closely with our internal engineering teams to solve complex scalability and reliability issues across the CPU, memory, and networking levels.
Technical Evangelism & Content Creation: We need you to prepare highly sought-after technical content and present at customer build reviews, executive briefings, and industry events to help us clearly articulate the technical and business value of our NVIDIA CPUs.
What we need to see:
Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience in the field.
8+ years in solution architecture, systems engineering, performance engineering, or similar technical customer-facing role.
Solid understanding of server CPU architecture and microarchitecture.
Hands-on experience with Arm-based server processors and the Arm software ecosystem.
Experience migrating applications from x86 or other ARM platforms, resolving ISA compatibility issues, recompiling dependencies, and applying targeted optimizations to improve performance on the target device.
Skill in constructing credible head-to-head comparisons against competing silicon by controlling for process node, memory configuration, and compiler flags to produce publishable performance claims.
Measuring real-world efficiency and thermal performance to prove superior TCO advantages over competitors.
Deep familiarity with Linux on Arm, including kernel parameters, packaging, and system bring-up for data center platforms.
Ways to stand out from the crowd:
Hands-on experience configuring bootloaders, kernel drivers, and OS distributions (Linux, RTOS) to rapidly stand up a working software environment on production ARM hardware.
Practical experience operating production workloads on major public cloud providers, supported by a solid grasp of modern data center architectures and the interaction between CPUs, GPUs, and networking.
Hand-on experience with benchmark suites (SPEC CPU, MLPerf, custom traces) to characterize customer workloads and produce compelling performance comparisons.
Strong proficiency in C/C++ and at least one scripting language for tooling, automation, and performance experiments.
Superb communication and presentation skills, with the ability to engage both deep technical and executive audiences.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 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
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
- 8+ years in solution architecture, systems engineering, performance engineering, or similar role
- Solid understanding of server CPU architecture and microarchitecture
- Hands-on experience with Arm-based server processors
- Experience migrating applications from x86 or ARM platforms
- Skill in constructing credible head-to-head comparisons against competing silicon
- Deep familiarity with Linux on Arm
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.”
