Senior Developer Relations Manager - Supercomputing at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High Performance Computing, Artificial Intelligence, Scientific ResearchIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in accelerated computing
Significant technical proficiency in high-performance computing, AI/ML and/or material discovery, climate, bio science, robotics and related field
Excellent communication skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives
Experience leading technical collaborations with engineering and product teams – including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops
Proven ability to structure and execute complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed)
Good English communication skill in email and video conference
Proficient Japanese communication skill is must

Responsibilities

Serve as the trusted technical advisor, problem solver, and champion for researchers who are utilizing NVIDIA supercomputer platform to drive adoption of NVIDIA technologies
Identify and accelerate critical workloads by demonstrating cutting-edge solutions that integrate the core NVIDIA stack into researcher’s platforms and pipelines
Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in HPC and AI for science including material discovery, climate, robotics and bio science, robotics, etc
Lead research collaboration working closely with internal technical stakeholders in WW
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies
Collaborate cross-functionally with solution architects, engineering, product management, and marketing to drive researcher engagement
Plan and manage workshops and hands-on training to promote understanding of NVIDIA technologies, striving to expand and deepen the researcher ecosystem
Represent and advocate for researcher technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from research collaboration to influence product roadmaps

Skills

HPC

Supercomputing

NVIDIA Technologies

Developer Advocacy

Project Management

Workshops

Hands-on Training

Research Collaboration

Technical Enablement

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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