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What you’ll be doing:
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.
What we need to see:
6+ 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.
Ways to stand out from the crowd:
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.
You will also be eligible for equity and .
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