Senior Solution Architect - OEM
NVIDIA is seeking a Senior Solution Architect to collaborate with OEM partners on the design and deployment of Arm-based data center CPU platforms. The role involves performance tuning, workload migration from x86 to Arm, and providing technical leadership to ensure the scalability and reliability of next-generation enterprise and AI server infrastructure.
- Compensation
- Not disclosed
- Location
- China, Shenzhen
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent
- 5+ 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
- Skill in constructing head-to-head comparisons against competing silicon
- Measuring real-world efficiency and thermal performance
- Deep familiarity with Linux on Arm
Nice to have
- Hands-on experience configuring bootloaders, firmware (BMC/BIOS/UEFI), kernel drivers, and OS distributions
- Practical experience in server system design, hardware validation, or working with major OEM/ODM manufacturers
- Hands-on experience with benchmark suites (SPEC CPU, MLPerf, custom traces)
- Strong proficiency in C/C++ and at least one scripting language
- Superb communication and presentation skills
Full description
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 Shenzhen or Beijing, China. Act as the technical liaison for NVIDIA’s CPU portfolio with leading OEM server manufacturers, encouraging adoption and improving next-generation server designs and enterprise solutions. 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 key OEM server partners as they develop and deploy next-generation enterprise and AI servers. Together, we will architect and validate server hardware infrastructure based on ARM server CPUs, actively influencing server reference architectures, our CPU roadmap, and system design guides to ensure top-tier performance, scalability, and system reliability.
- Workload Migration & Ecosystem Readiness: We will guide OEM partners and their enterprise 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 enterprise and data center workloads, partnering closely with our internal engineering teams to solve complex scalability and hardware/software integration 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 OEM design-in 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.
- 5+ 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.