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: 1 hour agoStatus: Live

Job Summary

Develop and optimize core parallel algorithms and data structures for GPU-based AI applications, collaborating across architecture, research, libraries, and system software teams to influence next-generation architectures and programming models. Occasional travel to conferences and on-site developer visits.

Location: Shanghai, Beijing, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Collaborate with key application developers to understand current and future problems and optimize core parallel algorithms and data structures for GPUs, through reference code development and direct application contributions
•Work with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models by evaluating impact on performance and developer efficiency
•Contribute to CUDA C/C++ or Python-based solutions and reference implementations to showcase performance improvements
•Engage with cross-functional teams to assess and improve programming models and toolchains for AI workloads
•Occasionally travel to conferences and on-site visits to engage with developers and share results

Travel: Low travel

Key Requirements

•A BS, MS, or PhD in engineering or computer science (or equivalent experience)
•3 years of work experience; domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences is helpful
•Proficiency in C/C++ and/or Python with strong software design and algorithms knowledge
•Strong mathematical fundamentals (linear algebra, numerical methods)
•Experience with parallel programming, ideally CUDA C/C++ or OpenACC

Experience:3+ yearsAIHPCMachine learning

Education:Bachelor's

Skills:C++PythonCUDAOpenACCParallel programmingLinear algebraNumerical methods

Tech Stack:C++PythonCUDAOpenACC

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: 1 hour agoStatus: Live

Job Summary

Location: Shanghai, Beijing, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Collaborate with key application developers to understand current and future problems and optimize core parallel algorithms and data structures for GPUs, through reference code development and direct application contributions
•Work with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models by evaluating impact on performance and developer efficiency
•Contribute to CUDA C/C++ or Python-based solutions and reference implementations to showcase performance improvements
•Engage with cross-functional teams to assess and improve programming models and toolchains for AI workloads
•Occasionally travel to conferences and on-site visits to engage with developers and share results

Travel: Low travel

Key Requirements

•A BS, MS, or PhD in engineering or computer science (or equivalent experience)
•3 years of work experience; domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences is helpful
•Proficiency in C/C++ and/or Python with strong software design and algorithms knowledge
•Strong mathematical fundamentals (linear algebra, numerical methods)
•Experience with parallel programming, ideally CUDA C/C++ or OpenACC

Experience:3+ yearsAIHPCMachine learning

Education:Bachelor's

Skills:C++PythonCUDAOpenACCParallel programmingLinear algebraNumerical methods

Tech Stack:C++PythonCUDAOpenACC

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