NVIDIA

3 weeks ago

Developer Relations Manager - Al Algorithms, Benchmarks, OSS Datasets

✓ 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

Work with China researcher and developer communities to integrate and evangelize NVIDIA GPU-accelerated computing solutions for AI algorithms, datasets, and benchmarks. Analyze community needs, identify high-impact projects, and bridge NVIDIA tools, libraries, and SDKs with requirements from ISVs and service providers. Co-architect repeatable AI4S/GenAI/Agentic AI solutions, drive early adoption, support launches, and collaborate across business development, solution architecture, and product teams.

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Understand China researcher and developer communities by analyzing technical requirements and identifying needle-moving projects.
•Bridge NVIDIA tools with community requirements and promote NVIDIA tools, libraries, and SDKs to researchers, developers, ISVs, and service providers.
•Apply deep expertise in AI algorithms, datasets, and benchmarks (including reinforcement learning for post-training) and related software ecosystems and performance acceleration techniques.
•Discover new workflows, identify blockers to ISV adoption, and report findings back to product teams.
•Drive early adoption of new products and support launch and go-to-market activities while collaborating with business development managers, solution architects, developer technology engineers, developer marketing, and product teams.

Travel: Low travel

Key Requirements

•BS, MS, or PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
•4+ years of work experience (especially in AI algorithms, datasets, and benchmarks) in a technical leadership role architecting GPU-accelerated computing solutions.
•Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and the LLM ecosystem (startups, ISVs, data stores, CSP services, and SaaS/platform offers).
•Strong analytical and problem-solving skills with deep empathy for developers.
•Clear written and oral communication skills to articulate value propositions to executive and technical audiences, plus strong project management.

Experience:4+ yearsAI for scienceGenerative AIAgentic AILLM ecosystemOSS communities

Education:PhD / Doctorate

Skills:CommunicationTeamworkAnalytical thinkingProblem-solvingProject management

Tech Stack:CUDAAIMachine learningDeep learningGenerative AIAgentic AIPhysical AILLMsVLMsReinforcement learningDatasetsBenchmarksAPIsMicroservicesOrchestration platforms

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

3 weeks ago

Developer Relations Manager - Al Algorithms, Benchmarks, OSS Datasets

✓ 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: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Understand China researcher and developer communities by analyzing technical requirements and identifying needle-moving projects.
•Bridge NVIDIA tools with community requirements and promote NVIDIA tools, libraries, and SDKs to researchers, developers, ISVs, and service providers.
•Apply deep expertise in AI algorithms, datasets, and benchmarks (including reinforcement learning for post-training) and related software ecosystems and performance acceleration techniques.
•Discover new workflows, identify blockers to ISV adoption, and report findings back to product teams.
•Drive early adoption of new products and support launch and go-to-market activities while collaborating with business development managers, solution architects, developer technology engineers, developer marketing, and product teams.

Travel: Low travel

Key Requirements

•BS, MS, or PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
•4+ years of work experience (especially in AI algorithms, datasets, and benchmarks) in a technical leadership role architecting GPU-accelerated computing solutions.
•Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and the LLM ecosystem (startups, ISVs, data stores, CSP services, and SaaS/platform offers).
•Strong analytical and problem-solving skills with deep empathy for developers.
•Clear written and oral communication skills to articulate value propositions to executive and technical audiences, plus strong project management.

Experience:4+ yearsAI for scienceGenerative AIAgentic AILLM ecosystemOSS communities

Education:PhD / Doctorate

Skills:CommunicationTeamworkAnalytical thinkingProblem-solvingProject management

Tech Stack:CUDAAIMachine learningDeep learningGenerative AIAgentic AIPhysical AILLMsVLMsReinforcement learningDatasetsBenchmarksAPIsMicroservicesOrchestration platforms

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