Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

at Nvidia

USD 224,000-431,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms Communication @ 6 Deep Learning @ 7 GPU @ 4 JAX @ 4 Leadership @ 6 Machine Learning @ 6 PyTorch @ 4 Python @ 7 Reinforcement Learning @ 3 Robotics @ 4 Team Management @ 6 Technical Leadership @ 6 TensorFlow @ 4

Details

NVIDIA is seeking an Engineering Manager to lead the Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering organization. The team focuses on robotics software and applied research for real2Sim technologies, digital twins, physical AI, and scalable simulation workflows.

Responsibilities

Lead, mentor, and grow a high-performing team of robotics software and applied research engineers.
Define, plan, and execute projects involving 3D reconstruction, digital twin creation, and robot simulation and validation tools.
Guide the advancement of Real2Sim and its integration into robot learning development.
Design, implement, and deploy novel algorithms for neural reconstruction, Real2Sim, and real-world applications and validation.
Collaborate with Isaac Sim/Lab, Platform, and SQA teams to deploy, validate, extend, and release capabilities on physical robots and at-scale simulations.
Ensure effective integration, validation, and release of applied research efforts in collaboration with research teams and on NVIDIA's robotics platforms.
Foster innovation and collaboration through 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+ years of experience working with 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 such as PyTorch, JAX, or TensorFlow.
Experience with physics simulation tools such as Isaac Sim/Lab and MuJoCo.
Excellent communication, organizational, and interpersonal skills.
Familiarity with robot learning, including imitation or reinforcement learning, and robot perception.
Experience with robot simulation tools and robot deployments.

Preferred Qualifications

Leadership in projects involving neural reconstruction and/or generative simulations.
Experience with large-scale model training on GPU clusters.
Hands-on experience with robotics simulation, sim-to-real, and real-to-sim transfer.

Compensation and Benefits

Base salary for Level 3: USD 224,000–356,500 per year.
Base salary for Level 4: USD 272,000–431,250 per year.
Eligible for equity and benefits.
Applications accepted at least until June 7, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.