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Developer Relations Manager – Robotics
NVIDIA. 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 .
Posted 10/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $152,000 - $287,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in robotics software development, including simulation and robot learning, while effectively collaborating with engineering teams to deliver advanced robotic solutions. Proficient in technical enablement and communication for diverse audiences, driving adoption of NVIDIA technologies.
Highest-signal resume keywords
Robotics Simulation ToolsNVIDIA Jetson Compute PlatformsWhole Software Development LifecycleTechnical Workshops LeadershipRobot Foundation Models
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentRobot PerceptionReinforcement LearningImitation LearningSynthetic Data GenerationTechnical ValidationCode ReviewsArchitectural DesignComputer Vision TrainingKinematic Foundation Models
Soft Skills
Strong Communication SkillsComplex Technical Engagement Structuring
Tools & Technologies
NVIDIA Robotics SDKsGazeboMuJoCoIsaac SimJetpack SDKCUDA-XOpenUSDCosmosKubernetesDocker
Certifications & Qualifications
Bachelor’s or Master’s in Computer ScienceEngineering or Related Technical Field
Industry Keywords
Robotics EcosystemTechnical EnablementDeveloper EcosystemsEmerging TrendsProduct Launches
Tech Stack
Tools & technologiesCloudDockerKubernetes
About the role
Key responsibilities & impact- 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, including 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 robotics startups with their synthetic data generation strategy
- Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials
Requirements
What you’ll need- 5+ 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)
- Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK
- 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
- Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos)
- Recent hands-on experience with robot simulation tools
- Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools
- Experience in training computer vision and/or kinematic foundation models
- Proven success in growing developer ecosystems through technical enablement
Benefits
Comp & perks- Comprehensive benefits package
- Equity