NVIDIA

3 weeks ago

Developer Relations Manager, cuOpt and Graph Optimization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Partner with China research and developer communities to help integrate NVIDIA’s GPU-accelerated computing solutions, with a focus on database and data processing workflows powered by cuOpt and graph optimization for LP, MILP, and VRP. Analyze community requirements, identify key projects and blockers to ISV adoption, and evangelize NVIDIA tools, libraries, and SDKs. Collaborate across business development, solution architects, engineering, marketing, and product teams to drive early adoption and go-to-market support.

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Understand China researcher and developer communities by analyzing technical requirements and identifying needle-moving projects.
•Bridge NVIDIA tools with community requirements by promoting NVIDIA tools, libraries, and SDKs to researcher/developer communities, ISVs, and service providers.
•Use deep knowledge of database systems and data processing technologies, including cuOpt and graph optimization, to advise on performance acceleration and AI-driven approaches.
•Discover new workflows, identify blockers to ISV adoption, and report back to product teams.
•Drive early adoption and support launch and go-to-market activities in collaboration with internal teams and external customers/communities.

Travel: Low travel

Key Requirements

•BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
•6+ years of work-related experience with cuOpt, graph optimization, LP, MILP and VRP and GPU-accelerated optimization algorithms.
•Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and LLM ecosystems across startups, ISVs, data stores, CSP services, and SaaS/platform offers.
•Strong analytical and problem-solving skills with empathy for developers.
•Clear written and oral communication skills, plus strong project management to plan, prioritize, and drive multiple initiatives with internal and external stakeholders.

Experience:6+ yearsAccelerated computingAI for scienceLLM ecosystemISVSaaS/platform

Education:Master's in Engineering, Mathematics, Physics, Electronics, or Computer Science

Skills:CommunicationTeamworkOrganizationAnalytical thinkingProblem-solvingProject managementStakeholder management

Tech Stack:NVIDIA GPU-accelerated computingCuOptGraph optimizationLPMILPVRPGPU-accelerated optimization algorithmsDatabase systemsData processingCUDAOperations researchAI4SRobotics researchAI-driven approachesAI for ScienceLLMsVLMsAgentic AIPhysical AIMicroservices

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, cuOpt and Graph Optimization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Understand China researcher and developer communities by analyzing technical requirements and identifying needle-moving projects.
•Bridge NVIDIA tools with community requirements by promoting NVIDIA tools, libraries, and SDKs to researcher/developer communities, ISVs, and service providers.
•Use deep knowledge of database systems and data processing technologies, including cuOpt and graph optimization, to advise on performance acceleration and AI-driven approaches.
•Discover new workflows, identify blockers to ISV adoption, and report back to product teams.
•Drive early adoption and support launch and go-to-market activities in collaboration with internal teams and external customers/communities.

Travel: Low travel

Key Requirements

•BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
•6+ years of work-related experience with cuOpt, graph optimization, LP, MILP and VRP and GPU-accelerated optimization algorithms.
•Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and LLM ecosystems across startups, ISVs, data stores, CSP services, and SaaS/platform offers.
•Strong analytical and problem-solving skills with empathy for developers.
•Clear written and oral communication skills, plus strong project management to plan, prioritize, and drive multiple initiatives with internal and external stakeholders.

Experience:6+ yearsAccelerated computingAI for scienceLLM ecosystemISVSaaS/platform

Education:Master's in Engineering, Mathematics, Physics, Electronics, or Computer Science

Skills:CommunicationTeamworkOrganizationAnalytical thinkingProblem-solvingProject managementStakeholder management

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