Senior Developer Relations Manager - Generative AI at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
8+ years of experience in AI engineering, developer relations or technical partnerships
Deep knowledge of LLMs (e.g. LLaMA, Mistral, GPT, NeMo) and agentic frameworks (LangChain, AgentIQ, CrewAI etc.)
Proficient in Python, Docker/Kubernetes, RESTful APIs
Ability to explain technical topics clearly, build compelling contents and drive developer engagement with good communication skill
Passion for AI business winning, strong interest in new technology, excellent collaboration skills, self-starter, self-confident with integrity and accountability, highly motivated, competitive
Proven ability to work in a fast-paced environment with strong listening, problem-solving, written, verbal and social skills, excellent presentation skills
Technical knowledge of NVIDIA products and services
Good English communication skill in email and web conference
Proficient Japanese communication skill is must
Ways to stand out
Hands-on experience with developing LLM-powered services or application
Familiarity with NVIDIA’s Gen AI stack, including NeMo, Triton, TensorRT-LLM, NIM and blueprints
Experience in crafting multi-agent architectures or reasoning systems
Proven track record in scaling developer communities and launching high impact technical enablement programs

Responsibilities

Develop developers of generative AI using NVIDIA solutions related to LLM, Agent AI and multimodal such as LLM stack (Nemo, TensorRT-LLM, Dynamo and Triton), NIM and Blueprints in customers, start-ups and partners
Build sample apps and demo pipelines that showcase NVIDIA’s solutions
Build strategy for promoting NVIDIA’s solution including competitors and market analysis
Build a partner ecosystem to support integration of customer application by using NVIDIA’s solution, which includes system integrator and start-ups
Represent NVIDIA at industry events, developer summits, strategic partner meetings and communities - evangelizing our AI strategy with both technical and business audiences
Make technical blogs, success stories, web articles, SNS contents and newsletters to communicate externally, working closely with marketing team and solution architect team
Drive early adoption of new product (early access) and support launch and go-to-market activities working closely with headquarters
Lead strategic relationships with key opinion leaders, leading ISVs and influential researchers

Skills

Python

Docker

Kubernetes

NeMo

TensorRT-LLM

Triton

NIM

LangChain

CrewAI

LLaMA

Mistral

GPT

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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