Senior Solutions Architect, Datacenter CPUs

NVIDIA • Us, CA

3d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Architect and validate multi-tenant cloud infrastructure based on ARM server CPUs
• Influence reference architectures, our CPU roadmap, and deployment guides
• Guide customers through the porting and optimization of x86 workloads to ARM
• Collaborate with ISVs and open-source communities to guarantee application readiness across our entire software stack
• Implement rigorous performance analysis and benchmarking of key cloud workloads
• Partner closely with our internal engineering teams to solve complex scalability and reliability issues across the CPU, memory, and networking levels
• Prepare highly sought-after technical content and present at customer build reviews, executive briefings, and industry events

Benefits

• NVIDIA offers highly competitive salaries and a comprehensive benefits package.
• You will also be eligible for equity and benefits
• As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees