Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

About the role

NVIDIA is seeking an Engineering Manager to lead the Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org. The team focuses on advancing robotics real2Sim technologies and applications for creating digital twins and their workflows at scale.

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.
• 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.

Requirements

• 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.

Qualifications

• 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.

Benefits

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.

Pay

The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

Schedule

Applications for this job will be accepted at least until June 7, 2026.