Nvidia

Nvidia

Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

US, CA, Santa Clara · Mid

Sponsorship not specifiedDetected 2 days ago
PythonC++AlgorithmsMachine LearningDeep LearningTensorFlowPyTorchRoboticsResearchLeadershipCommunicationCollaboration

Stay score

odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

NVIDIA Corporation obtained a prevailing wage determination for Software Developers in Santa Clara, CALIFORNIA on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 92%

Of 382 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

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.