NVIDIA
Technology
SoftwareEngineeringManager,RoboticsNeuralReconstructionandReal2SimApplications
Neural analysis suggests this role is
optimal for Manager candidates.
“Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications at NVIDIA. Skills: Robotics, Deep Learning, Simulation, Neural Reconstruction. Lead robotics software engineers. Lead applied research engineers”
Industry & Context.
Algorithm design; Algorithm implementation; Algorithm deployment
What They're Looking For.
Must Have
Master's degree in Computer Science, 8+ years robotics experience, 3+ years technical leadership, Python programming skills, C++ programming skills, Deep Learning frameworks experience, Physics simulation tools experience, Robot simulation experience, On robot deployments experience
Nice to Have
PhD in Computer Science, Leadership in Neural Reconstruction, Leadership in Generative Simulations, Large-scale model training experience, Robotics simulation experience, Sim-to-real transfer experience, Real-to-sim transfer experience
What You'll Do.
Lead robotics software engineers
Lead applied research engineers
Mentor robotics software engineers
Mentor applied research engineers
Grow robotics software engineers
Grow applied research engineers
Drive project definition
Drive project planning
Drive project execution
Advance Real2Sim integration
Design novel algorithms
Implement novel algorithms
Deploy novel algorithms
Collaborate with Isaac teams
Deploy capabilities on robots
Validate capabilities on robots
Extend capabilities on robots
Release capabilities on robots
Deploy features on robots
Validate features on robots
Extend features on robots
Release features on robots
Deploy capabilities on simulations
Validate capabilities on simulations
Extend capabilities on simulations
Release capabilities on simulations
Deploy features on simulations
Validate features on simulations
Extend features on simulations
Release features on simulations
Ensure effective integration
Ensure effective validation
Ensure effective releases
Foster innovation culture
Foster collaboration culture
Support open source contributions
Translate engineering work into products
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Hardware teams; Software teams; Research teams; Isaac teams
Communication Scope
Interpersonal skills
Process & Methodology
Project planning, Project execution
Full Job Description
We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots. 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
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