We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots.
NVIDIA is seeking an Engineering Manager to lead our Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org! You will lead a group of world-class robotics software and applied research engineers focused on advancing robotics real2Sim technologies and applications for creating digital twins and their workflows at scale, shaping the future of physical AI!
What you’ll be doing:
Lead, mentor, and grow a high-performing team of robotics software and applied research engineers focused on robotics Neural Reconstruction & Real2Sim Applications.
Drive the definition, planning, and execution of projects involving 3D reconstruction, Digital twin creation, and robot simulation & validation tools.
Guide the team in advancing Real2Sim and its integration in robot learning developments.
Hands-on design, implementation, and deployment of novel algorithms for Neural Reconstruction, Real2Sim and their real-world applications & validation.
Collaborate & support other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release the capabilities & features on physical robots as well as on at-scale simulations.
Ensure effective integration, validation and releases of applied research efforts in collaboration with research teams and on top of NVIDIA’s advanced robotics platforms.
Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.
What we need to see:
PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
8+ overall years of experience working on robotics and deep learning technologies.
3+ years of experience in technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.
Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).
Excellent communication, organizational, and interpersonal skills.
Familiarity with robot learning, including imitation or reinforcement learning, and robot perception.
Experience with robot simulation tools & on robot deployments.
Ways to stand out from the crowd:
Leadership in projects involving Neural Reconstruction and/or Generative Simulations.
Experience with large-scale model training on GPU clusters.
Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.
You will also be eligible for equity and benefits.
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.Skills Required
- PhD or Master's degree in Computer Science, Robotics, or related field
- 8+ overall years of experience working on robotics and deep learning technologies
- 3+ years of experience in technical leadership or team management in robotics, autonomous driving, or machine learning
- Strong hands-on programming skills in Python and/or C++
- Experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo)
- Familiarity with robot learning, including imitation or reinforcement learning
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
