CPU Performance Developer Technology Engineer

NVIDIA
China
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Communication","Organizational skills","Collaboration","Prioritization"]

Research, design, and implement CPU performance optimization strategies for NVIDIA Grace/Vera processors, spanning AI data preprocessing, scientific and HPC workloads, and other data-intensive computing domains. Work with developers, researchers, and framework maintainers to profile and optimize from application algorithms down to microarchitecture, contribute performance-focused open-source software, and partner with architecture, research, libraries, tools, and system software teams to shape next-generation CPU designs and compiler toolchains.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

CPU Performance Developer Technology Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Research, design, and implement CPU performance optimization strategies for NVIDIA Grace/Vera processors, spanning AI data preprocessing, scientific and HPC workloads, and other data-intensive computing domains. Work with developers, researchers, and framework maintainers to profile and optimize from application algorithms down to microarchitecture, contribute performance-focused open-source software, and partner with architecture, research, libraries, tools, and system software teams to shape next-generation CPU designs and compiler toolchains.
Location: China
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with developers, researchers, and framework maintainers to identify and resolve performance challenges across AI, data analytics, simulation, and numerical computing workloads.
  • •Profile, analyze, and optimize CPU performance from application-level algorithms down to low-level microarchitecture.
  • •Contribute to open-source frameworks, software stacks, reference implementations, and performance libraries to unlock full CPU potential.
  • •Partner with NVIDIA architecture, research, libraries, tools, and system software teams to improve overall platform performance.
  • •Provide insights that shape next-generation CPU designs, compiler toolchains, and development workflows to improve developer productivity and throughput.

Key Requirements

  • •BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
  • •5+ years of relevant experience in performance engineering or CPU optimization.
  • •Strong programming proficiency in C/C++ and/or Python, with a deep understanding of algorithms and software architecture.
  • •Solid grasp of CPU microarchitecture, performance analysis tools, and optimization methodologies.
  • •Proven track record of CPU benchmarking and bottleneck-driven performance tuning, with strong communication and organizational skills.
Experience:5+ yearsHPCAIScientific computingOpen source
Education:
Skills:CommunicationOrganizational skillsCollaborationPrioritization
Tech Stack:CC++PythonCPU microarchitectureSIMDSIMD instruction setsVectorizationLow-level intrinsicsNVIDIA Grace/Vera CPUsPerformance analysis toolsCPU benchmarkingCompiler toolchainsHPCParallel computingDistributed runtime environmentsOpen-source frameworksPerformance libraries

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor