Technical Product Marketing Engineer, Robotics Simulation - New College Grad 2027
NVIDIA is hiring a Technical Product Marketing Engineer, Robotics Simulation - New College Grad 2027 in Santa Clara, United States. It pays $84k-$144k a year and Level rates it ; you can apply on Level.
Level's read on this job
- Works on AI ●●●○ is how Level rates this marketing role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include PyTorch and AI agents.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!
We are 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.
What you will be doing:
- 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.
What we need to see:
- 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 from the crowd:
- 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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 84,000 USD - 143,750 USD for Level 1, and 100,000 USD - 161,000 USD for Level 2.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 23, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Technical Product Marketing Engineer, Robotics Simulation - New College Grad 2027 at NVIDIA rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in marketing jobs at this level
Pay
- This job starts at
- $84k
- Typical marketing job
- $146k
This posting starts 42% below the typical marketing job. See marketing jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used PyTorch in your day-to-day work.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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