Developer Relations Manager, Robotics

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CANew York, NY
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k

This role $197k

$138k $282k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $193,935–$256,000 — the blue band above. At the midpoint, this role pays about $197k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Developer Relations Manager, Robotics

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The Developer Relations Manager Robotics will join the team to partner with startups at the forefront of AI and robotics. This role involves acting as a technical advisor to help partners accelerate robotics application development by leveraging NVIDIA’s Physical AI software. Key responsibilities include collaborating with engineering teams on architecture, integration, and code for Isaac Sim and Isaac Lab, while creating technical enablement resources like sample code and reference architectures. The position requires deep expertise in robot foundation models, simulation, synthetic data, reinforcement learning, and imitation learning. Candidates must be proficient with tools such as Gazebo, MuJoCo, and the Jetpack SDK. The role focuses on solving commercialization challenges for robotic startups by providing technical validation, co-designing advanced solutions, and supporting synthetic data generation strategies.

Skills

Isaac Sim Isaac Lab Robot Learning Synthetic Data Reinforcement Learning Imitation Learning NVIDIA Jetson Jetpack SDK CUDA-X OpenUSD Gazebo MuJoCo Robot Studio Kubernetes Docker Cloud-native Computer Vision Kinematic Foundation Models AIOps

What you'll do

Act as a technical advisor to partner engineering teams on architecture, integration, and code for Isaac Sim and Isaac Lab.
Co-design and deliver advanced robotic solutions by defining objectives, architecture, milestones, and implementation plans with partners.
Create technical enablement resources including sample code, reference architectures, integration guides, and workshops.
Support robotics startups with synthetic data generation strategies and robot learning techniques.
Identify challenges and recommend solutions to partner engineering leaders to drive adoption of NVIDIA robotic technology.
Provide feedback to internal product and engineering teams to influence future technology roadmaps based on partner needs.
Support product launches and go-to-market activities through technical validation, demos, and customer-facing materials.

What we're looking for

5+ years of experience in the technology industry.
At least 5 years of experience in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field, or equivalent experience.
Experience with the whole software development lifecycle, from requirements and design to testing, integration, and support.
Technical background in robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools such as Gazebo, MuJoCo, Isaac Sim, or Robot Studio.
Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK.
Experience leading technical workshops, code reviews, and architectural design sessions.
Experience with NVIDIA tools and libraries like CUDA-X, Isaac Sim, OpenUSD, or Cosmos (preferred).
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools (preferred).
Experience in training computer vision and/or kinematic foundation models (preferred).
Proven success in growing developer ecosystems through technical enablement (preferred).

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