Robotics Developer Relations Manager – Research at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, RoboticsIndustries

Requirements

10+ years in the technology industry, with at least 5 years in hands-on software development or engineering
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience
Whole software development lifecycle experience—from requirements and design to testing, integration, and support
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio)
Experience leading technical workshops, code reviews, and architectural design sessions
Strong communication skills for technical and executive audiences
Ability to structure and deliver complex technical engagements

Responsibilities

Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning
Track emerging trends in the robotics ecosystem to identify new opportunities
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials
Oversee all aspects of and coordinate robotics research initiatives at NVIDIA
Align internal labs, research teams, and engineering groups
Evaluate research opportunities, identify those with the greatest potential for commercialization, and accelerate their path to market
Connect internal research initiatives with researchers, engineers, and executives to drive physical AI and robotics innovation

Skills

Robotics

Isaac Sim

Isaac Lab

Simulation

Robot Learning

NVIDIA SDKs

Program Management

Architecture

Integration

Code Development

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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