NVIDIA

1 day ago

Robotics Software Engineer - Sim-to-Real

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build and integrate NVIDIA’s robotics technologies into a humanoid reference platform, helping advance Physical AI from simulation to real-world humanoid robots. You’ll work with Jetson and the Isaac stack (Sim/Lab, ROS, and related tools) to train and deploy whole-body controllers, manipulation policies, and embedded agents in NVIDIA’s Zurich lab. The role focuses on end-to-end sim-to-real transfer for real hardware.

Location: Zurich

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead progress in simulated and real humanoid robotics by building a humanoid reference platform using NVIDIA robotics technologies.
•Collaborate with multiple groups to integrate NVIDIA robotics products (Jetson Thor, Isaac Sim/Lab, Isaac ROS) into humanoid robot solutions.
•Develop and validate sim-to-real capabilities on real robots in the Zurich lab, including training and deploying whole-body controllers and manipulation policies (VLA/WAM).
•Work on embedded agents (CaP) and embedded/code-as-policy approaches to make real robots function seamlessly.
•Apply robotics and learning frameworks to deploy end-to-end solutions across simulated and physical systems.

Key Requirements

•5 years of experience in Computer Science, Robotics, Engineering, or a related field, with proven industry experience.
•Proficiency in C++ and Python and experience applying them to real-time robotics systems.
•Hands-on experience with both simulated and physical robots.
•In-depth knowledge of robotics and learning tools and libraries, including PyTorch, ROS2, and physics simulators like Isaac Sim or Newton.
•Experience with learning-based robotics such as sim-to-real RL training, VLA fine-tuning, or embedded/code-as-policy agents.

Experience:5+ yearsRoboticsSimulationReinforcement learningReal-world roboticsSim-to-real

Tech Stack:C++PythonPyTorchROS2Isaac SimIsaac LabIsaac ROSIsaac GR00TJetson ThorJetson platformNewtonSim-to-real RLWhole-body controllersVLAWAMCaP

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 day ago

Robotics Software Engineer - Sim-to-Real

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Zurich

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead progress in simulated and real humanoid robotics by building a humanoid reference platform using NVIDIA robotics technologies.
•Collaborate with multiple groups to integrate NVIDIA robotics products (Jetson Thor, Isaac Sim/Lab, Isaac ROS) into humanoid robot solutions.
•Develop and validate sim-to-real capabilities on real robots in the Zurich lab, including training and deploying whole-body controllers and manipulation policies (VLA/WAM).
•Work on embedded agents (CaP) and embedded/code-as-policy approaches to make real robots function seamlessly.
•Apply robotics and learning frameworks to deploy end-to-end solutions across simulated and physical systems.

Key Requirements

•5 years of experience in Computer Science, Robotics, Engineering, or a related field, with proven industry experience.
•Proficiency in C++ and Python and experience applying them to real-time robotics systems.
•Hands-on experience with both simulated and physical robots.
•In-depth knowledge of robotics and learning tools and libraries, including PyTorch, ROS2, and physics simulators like Isaac Sim or Newton.
•Experience with learning-based robotics such as sim-to-real RL training, VLA fine-tuning, or embedded/code-as-policy agents.

Experience:5+ yearsRoboticsSimulationReinforcement learningReal-world roboticsSim-to-real

Tech Stack:C++PythonPyTorchROS2Isaac SimIsaac LabIsaac ROSIsaac GR00TJetson ThorJetson platformNewtonSim-to-real RLWhole-body controllersVLAWAMCaP

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor