below marketmost similar roles pay hereabove market
This role pays less than
83%
of similar roles. Most pay
$133,375–$216,250
— the blue band above.
At the midpoint, this role pays about
$114k
versus about
$175k
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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.
JOB TITLE: Technical Product Marketing Engineer, Robotics Simulation - New College Grad 2027
The Technical Product Marketing Engineer, Robotics Simulation - New College Grad 2027 joins the Robotics Technical Marketing team to build robotics simulation workflows and demonstrate how AI models solve robotics tasks. You will develop working examples, evaluate behavior and performance, and create practical resources like tutorials and technical blogs to help developers adopt NVIDIA robotics technologies. Key responsibilities include configuring robot models, environments, and sensors using NVIDIA Isaac Sim and Isaac Lab. You will write reusable Python code, integrate AI models into simulation workflows, and perform repeatable experiments to document results. Required skills include Python programming, linear algebra, coordinate transformations, and machine learning fundamentals using PyTorch. You will also troubleshoot integration issues and present technical demonstrations to partners and customer-facing teams.
Develop and test robotics simulation workflows using NVIDIA Isaac Sim and Isaac Lab.
Integrate AI models and robot policies into simulation workflows to drive robot behavior.
Build reusable Python code and sample applications to demonstrate practical robotics use cases.
Evaluate task success, runtime performance, and failure cases through repeatable experiments.
Create demos, tutorials, technical blogs, and workflow guides for developers.
Troubleshoot integration issues and validate technical claims with engineering and product teams.
Present technical work and contribute to educational materials for partners and customers.
What we're looking for
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.
Experience with NVIDIA Isaac Sim, Isaac Lab, or other robotics simulators (preferred).
Exposure to reinforcement learning, imitation learning, synthetic data generation, or simulation-to-real evaluation (preferred).
Physical AI
Robotics
Physics Simulation
Generative AI
Sim-to-Real Transfer
Reinforcement Learning
Imitation Learning
Synthetic Data
Digital Twins
Warp
Newton
Isaac Sim
Isaac Lab
Omniverse
Cosmos
PhysicsNeMo
PhysX
GPU-accelerated Simulation
Computer-Aided Engineering (CAE)