Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $220k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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TL;DR · Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

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The Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications will lead a team of robotics software and applied research engineers within the Isaac Engineering organization. This role involves leading, mentoring, and growing a high-performing team to advance robotics real2Sim technologies and applications for creating digital twins and workflows at scale. Key responsibilities include driving project execution for 3D reconstruction, robot simulation, and validation tools, while performing hands-on design and deployment of novel algorithms for Neural Reconstruction. Candidates must possess expertise in Python, C++, Deep Learning frameworks like PyTorch, JAX, and TensorFlow, and physics simulation tools such as Isaac Sim/Lab and MuJoCo. The work focuses on robot learning, including imitation or reinforcement learning, and robot perception to solve real-world sim-to-real transfer problems.

What does a Software Engineering Manager earn in California?

Median $281300 from 43 postings across 15 companies.

See salary data

Skills

Python C++ PyTorch JAX TensorFlow Isaac Sim MuJoCo Deep Learning Neural Reconstruction Real2Sim Robot Learning Reinforcement Learning Robot Perception GPU Clusters Digital Twins Sim-to-Real 3D Reconstruction

What you'll do

  • Lead and mentor a team of robotics software and applied research engineers.
  • Drive the planning and execution of 3D reconstruction and digital twin projects.
  • Design and deploy novel algorithms for Neural Reconstruction and Real2Sim applications.
  • Integrate Real2Sim technologies into robot learning developments.
  • Validate and release research features on physical robots and at-scale simulations.
  • Translate engineering work into impactful products through cross-functional collaboration.
  • Support the creation of prototypes, open-source contributions, patents, and publications.

What we're looking for

  • PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
  • 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).
  • Familiarity with robot learning, including imitation or reinforcement learning, and robot perception.
  • Experience with robot simulation tools and on-robot deployments.
  • Leadership in projects involving Neural Reconstruction, Generative Simulations, or large-scale model training on GPU clusters (preferred).

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