NVIDIA

1 week ago

Senior Accelerated Computing Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 minutes agoStatus: Live

Job Summary

Design and optimize accelerated computing software for NVIDIA GPUs across current and next-generation hardware. You will analyze performance, build and refine parallel algorithms, data structures, and reference code, and study hardware/software co-design across programming models and applications. Collaborate with hardware design, software engineering, product, and research teams, and communicate results through white papers, publications, blog posts, and patent applications.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Analyze and optimize performance on current and next-generation NVIDIA GPUs.
•Create and optimize parallel algorithms, data structures, and reference code for NVIDIA GPUs.
•Study the interplay of hardware and software architectures across core algorithms, programming models, and applications.
•Collaborate with hardware design, software engineering, product, and research teams to guide accelerated computing direction.
•Write and present results through white papers, conference publications, blog posts, and patent applications.

Key Requirements

•MS or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
•6+ years of relevant work experience.
•Strong mathematical fundamentals, including linear algebra and numerical methods.
•Hands-on experience with massively parallel GPU programming models (e.g., CUDA or OpenCL).
•Strong knowledge of C and C++ with solid understanding of software design, algorithms, and programming techniques.

Experience:6+ years

Education:Master's

Skills:Performance optimizationCommunicationOrganizationProblem solvingTime management

Tech Stack:GPUCUDAOpenCLMPIOpenSHMEMNVSHMEMCC++PythonMulticore CPUsIPCUnix-style IPC

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

Senior Accelerated Computing Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 minutes agoStatus: Live

Job Summary

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Analyze and optimize performance on current and next-generation NVIDIA GPUs.
•Create and optimize parallel algorithms, data structures, and reference code for NVIDIA GPUs.
•Study the interplay of hardware and software architectures across core algorithms, programming models, and applications.
•Collaborate with hardware design, software engineering, product, and research teams to guide accelerated computing direction.
•Write and present results through white papers, conference publications, blog posts, and patent applications.

Key Requirements

•MS or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
•6+ years of relevant work experience.
•Strong mathematical fundamentals, including linear algebra and numerical methods.
•Hands-on experience with massively parallel GPU programming models (e.g., CUDA or OpenCL).
•Strong knowledge of C and C++ with solid understanding of software design, algorithms, and programming techniques.

Experience:6+ years

Education:Master's

Skills:Performance optimizationCommunicationOrganizationProblem solvingTime management

Tech Stack:GPUCUDAOpenCLMPIOpenSHMEMNVSHMEMCC++PythonMulticore CPUsIPCUnix-style IPC

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