Senior Developer Relations Manager, Physical AI/Robotics at NVIDIA

Seoul, South Korea, South Korea

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Robotics, High-Performance ComputingIndustries

Requirements

BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
5+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions
Clear written and oral communication skills with a 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 collaborators
Extensive knowledge and experience with recent advancements in Physical/Embodied AI, Synthetic Data Generation, World Foundation Model, VLMs, Robot Policy Learning and Gen AI, Robotics development
Hands-on experience with software architecture design, implementation and programming skills
Experience to work with leading researchers at enterprise, startup, and high education across developer ecosystem

Responsibilities

Based on deep understanding of AI for Robotics, Gen AI workflows, Digital Twin and Synthetic Data Generation, do evolving ecosystem and alliances, building a network of influencers, and tracking opportunities in progress proactively, seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be catalyst in conceptualisation, scoping and working towards adoption
Position NVIDIA tools, libraries, and SDK’s with developers in Korea to accelerate their Robotics Developer journey
Discover new workflows, identify blockers and feature request to adoption for Physical AI and Robot development, and actively co-work together with the product teams
Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing, DevTech, Product manager
Engage and collaborate with developers across Enterprise, Public Sector, Startups, and Independent Software Vendors (ISVs)
Drive the integration of NVIDIA’s GPU-Accelerated Computing platforms, with a strong emphasis on Robotics and Physical AI applications

Skills

Robotics

Physical AI

GPU-Accelerated Computing

Gen AI workflows

Digital Twin

Synthetic Data Generation

NVIDIA SDKs

Developer Relations

Ecosystem Building

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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