Technical Product Marketing Engineer

About the Role

NVIDIA is looking for a Technical Product Marketing Engineer to build robotics simulation workflows and demonstrate how AI models can solve robotics tasks. You will develop working examples, evaluate their behavior and performance, and turn your findings into practical resources that help developers understand and adopt NVIDIA robotics technologies. As part of NVIDIA’s Robotics Technical Marketing team, you will work with engineering, product management, and product marketing to connect technical capabilities with developer needs. You will own well-defined projects—from implementation and testing through demonstrations and technical content—with mentorship and technical review from experienced teammates.

Key Responsibilities

• Develop and test robotics simulation w/ agentic workflows using NVIDIA platforms Isaac Sim and Isaac Lab, including configuring robot models, environments, sensors, and task scenarios.
• Integrate AI models and robot policies into simulation workflows, connecting simulation inputs, model inference, and robot behavior.
• Build reusable Python code and sample applications that demonstrate practical robotics use cases.
• Evaluate task success, runtime performance, and failure cases through repeatable experiments; document configurations, results, and limitations.
• Create demos, tutorials, technical blogs, and workflow guides that explain what you built, how it works, and how developers can reproduce the results.
• Collaborate with engineering and product teams to troubleshoot integration issues, validate technical claims, and surface opportunities to improve the developer experience.
• Present your work and contribute to technical demonstrations and educational materials for developers, partners, and customer-facing teams.

Requirements & Tech Stack

• Pursuing or recently completed a BS or MS degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent experience.
• Strong Python programming fundamentals, including experience debugging, testing, and organizing code.
• Hands-on academic, research, internship, or personal project experience with robotics or simulation.
• Foundational understanding of linear algebra, coordinate transformations, and robotics concepts such as sensors, kinematics, or control.
• Familiarity with machine learning fundamentals and practical experience running or evaluating models using a framework such as PyTorch.
• Ability to investigate technical problems systematically and communicate results through clear writing and presentations.
• Initiative in learning new tools, incorporating feedback, and following through on defined technical deliverables.
• Relevant experience may come from coursework, capstone projects, research, internships, open-source contributions, or personal projects.

Ways To Stand Out

• Experience with NVIDIA Isaac Sim, Isaac Lab, or other robotics simulators.
• A project applying learned policies or pre-trained AI models to robotics tasks, such as perception, manipulation, or navigation.
• Exposure to reinforcement learning, imitation learning, synthetic data generation, or simulation-to-real evaluation.
• Familiarity with Linux, Git, ROS 2, C++, or GPU-accelerated computing.
• Examples of reusable code, demonstrations, tutorials, or technical presentations that make a complex topic understandable and help others reproduce your work.