Senior Developer Relations Manager at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, TechnologyIndustries

Requirements

BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions
Deep understanding of Agentic AI, Gen AI and LLM ecosystem of 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 with proven track record to articulate value propositions to executive and technical audiences
Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders
Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI and Gen AI
Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities
Ways to stand out
Experience developing with ML/DL frameworks and AIOps/MLOps ecosystem of partners and solutions in the cloud and on-prem
Background with cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques
Experience and empathy for software engineering and application development

Responsibilities

Promote NVIDIA tools, libraries, and SDK’s with ISV and Service Provider architects and developers
Deeply understand Agentic AI, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress
Discover new workflows, identify blockers to ISV adoption, and report back to the product teams
Drive early adoption of new products and support launch and go-to-market activities
Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing
Work with Independent Software Vendors (ISVs) and Service Providers to integrate GPU Accelerated Computing solutions (Machine Learning, Deep Learning, Generative AI & Agentic AI) and build comprehensive multi-cloud, hybrid and on-prem solutions
Act as a technical business development and accelerated computing platform evangelist to largest ISVs with global presence
Integrate new or expanding existing solutions, co-architect and advise on repeatable solutions, jointly scope project requirements for Agentic AI, Gen AI, LLMs and VLMs, and understand integrations with the ecosystem, and private/hybrid platforms

Skills

Key technologies and capabilities for this role

Generative AIAgentic AILLMsVLMsMachine LearningDeep LearningGPU Accelerated ComputingHigh-Performance ComputingNVIDIA SDKsMulti-CloudHybrid CloudOn-Premises

Questions & Answers

Common questions about this position

What education and experience are required for the Senior Developer Relations Manager role?

A BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) is required, along with 10+ years of work-related experience in technical leadership and architecting GPU accelerated computing solutions.

What key skills are needed for this position?

Candidates need a deep understanding of Agentic AI, Gen AI, and LLM ecosystems, strong analytical and problem-solving skills with empathy for developers, clear communication skills, and strong project management abilities.

Is remote work possible, or is travel required?

The role makes heavy use of conferencing tools but some travel is required.

What is the compensation or salary for this role?

This information is not specified in the job description.

What qualities make a strong candidate for this NVIDIA role?

A passionate, focused, self-driven, and creative technologist with strong communication, collaboration, organization, and goal-oriented skills, plus extensive knowledge of AI advancements like LLMs, VLMs, Agentic AI, and Gen AI, stands out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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