NVIDIA Corporation

Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications

NVIDIA Corporation$224K — $431K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree in Computer Science, Robotics, or equivalent experience
  • 8+ years in robotics and deep learning technologies
  • 3+ years in technical leadership or team management within related fields
  • Strong programming skills in Python and/or C++
  • Experience with Deep Learning frameworks and physics simulation tools
  • Excellent communication and interpersonal skills
  • Familiarity with robot learning and perception

Responsibilities

  • Lead, mentor, and develop a high-performing robotics engineering team
  • Define, plan, and execute projects in 3D reconstruction and digital twin creation
  • Guide team in advancing Real2Sim integration in robot learning
  • Design and implement algorithms for Neural Reconstruction and Real2Sim
  • Collaborate with other teams on deploying and validating capabilities on robots
  • Ensure effective integration and research releases on NVIDIA's robotics platforms
  • Foster a culture of innovation and collaboration

Benefits

  • Equity opportunities
  • Comprehensive health benefits
  • Flexible work options
  • Professional development resources
  • Access to cutting-edge technology and tools
Full Job Description
NVIDIA is seeking an Engineering Manager to lead our Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org! You will lead a group of world-class robotics software and applied research engineers focused on advancing robotics real2Sim technologies and applications for creating digital twins and their workflows at scale, shaping the future of physical AI!

What you'll be doing:
  • 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.


What we need to see:
  • 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.


Ways to stand out from the crowd:
  • 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.


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.

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

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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