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’s Compute Developer Technology team as an AI Developer Technology Engineer. You will study and develop cutting-edge deep learning and AI techniques, optimize performance on current and next-generation GPU architectures, and work with customers to translate problems into GPU-based AI solutions. Collaborate with architecture, research, libraries, tools, and system software teams to influence future architectures and programming models.

Location: Shanghai, Beijing, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
•Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
•Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
•Travel for conferences and on-site visits with customers as needed.
•Contribute to the Compute Developer Technology team by sharing knowledge and implementing AI-driven solutions on NVIDIA GPUs.

Travel: Low travel

Key Requirements

•A degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred) or equivalent experience
•2+ years of experience
•Strong knowledge of C/C++, software design, programming techniques, and AI algorithms
•Strong verbal and written communication skills in English and organization skills, with a logical approach to problem solving, time management, and task prioritization skills
•Some travel is required for conferences and for on-site visits with customers.

Experience:2+ yearsAIDeep learningGPUMachine learningComputer architecture

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkTime managementEnglish proficiency

Languages:English

Tech Stack:CC++GPUDeep learningAIParallell computingGraphicsCUDA

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: Shanghai, Beijing, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
•Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
•Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
•Travel for conferences and on-site visits with customers as needed.
•Contribute to the Compute Developer Technology team by sharing knowledge and implementing AI-driven solutions on NVIDIA GPUs.

Travel: Low travel

Key Requirements

•A degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred) or equivalent experience
•2+ years of experience
•Strong knowledge of C/C++, software design, programming techniques, and AI algorithms
•Strong verbal and written communication skills in English and organization skills, with a logical approach to problem solving, time management, and task prioritization skills
•Some travel is required for conferences and for on-site visits with customers.

Experience:2+ yearsAIDeep learningGPUMachine learningComputer architecture

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkTime managementEnglish proficiency

Languages:English

Tech Stack:CC++GPUDeep learningAIParallell computingGraphicsCUDA

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