NVIDIA

1 week 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: 2 hours agoStatus: Live

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: Shenzhen, Beijing

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week 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: 2 hours agoStatus: Live

Job Summary

Location: Shenzhen, Beijing

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

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor