Nvidia
Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications
US, CA, Santa Clara · Mid
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About the role
- Guide the team in advancing Real2Sim and its integration in robot learning developments.
- 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.
Responsibilities
- 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.
- 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.
- Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.
- NVIDIA is seeking an Engineering Manager to lead our Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org!
Requirements
- What we need to see: PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
- Experience with robot simulation tools & on robot deployments.
- Experience with large-scale model training on GPU clusters.
- PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
Compensation
- 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.
Benefits
- 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).
Company info
- We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives.
- By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots.
- Ways to stand out from the crowd: Leadership in projects involving Neural Reconstruction and/or Generative Simulations.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.