Job description

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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 7, 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.

Requirements

Must-haves

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.
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.
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 .
Applications for this job will be accepted at least until September 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

Platform: eightfold
Effort: medium