NVIDIA

1 month ago

Developer Technology Engineer, AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Join NVIDIA to advance CUDA-based techniques for AI across deep learning, graphics, and data analytics. You’ll work with customers to tailor GPU-accelerated AI solutions, collaborate with architecture, research, libraries, and system software teams, and influence next-generation architectures and programming models while occasionally traveling for conferences and on-site visits.

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Study and develop cutting-edge techniques in CUDA programming, profiling, optimization for deep learning, graphics, machine learning, and data analytics; optimize performance on current- and next-generation GPU architectures.
•Work directly with key customers to understand problems and provide AI solutions using GPUs.
•Collaborate with architecture, research, libraries, tools, and system software teams to influence design of next-generation architectures, software platforms, and programming models by evaluating impact on performance and developer efficiency.
•Travel from time to time for conferences and on-site visits with developers.

Travel: Low travel

Key Requirements

•3+ years experience in programming with C/C++ and/or Python, with a deep understanding of software design, programming techniques, and algorithms.
•BS, MS, or PhD in engineering or computer science (or equivalent experience).
•Strong mathematical fundamentals including linear algebra and numerical methods.
•Experience with parallel programming, ideally CUDA C/C++.
•Strong communication and organizational skills, with good time management and task prioritization.

Experience:3+ yearsAIGPUCUDAHPCDeep learning

Skills:CUDAC++PythonLinear algebraParallel programmingAlgorithms

Tech Stack:CUDAC++PythonCUDA C/C++GPU architectures

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 month ago

Developer Technology Engineer, AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Study and develop cutting-edge techniques in CUDA programming, profiling, optimization for deep learning, graphics, machine learning, and data analytics; optimize performance on current- and next-generation GPU architectures.
•Work directly with key customers to understand problems and provide AI solutions using GPUs.
•Collaborate with architecture, research, libraries, tools, and system software teams to influence design of next-generation architectures, software platforms, and programming models by evaluating impact on performance and developer efficiency.
•Travel from time to time for conferences and on-site visits with developers.

Travel: Low travel

Key Requirements

•3+ years experience in programming with C/C++ and/or Python, with a deep understanding of software design, programming techniques, and algorithms.
•BS, MS, or PhD in engineering or computer science (or equivalent experience).
•Strong mathematical fundamentals including linear algebra and numerical methods.
•Experience with parallel programming, ideally CUDA C/C++.
•Strong communication and organizational skills, with good time management and task prioritization.

Experience:3+ yearsAIGPUCUDAHPCDeep learning

Skills:CUDAC++PythonLinear algebraParallel programmingAlgorithms

Tech Stack:CUDAC++PythonCUDA C/C++GPU architectures

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