Senior Robotics Simulation Engineer - Cloud & GPU

Samsung Research America (SRA)

Mountain View (CA)

In loco

USD 163.000 - 225.000

Tempo pieno

3 giorni fa
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Descrizione del lavoro

Samsung Research America’s Robot Intelligence Lab seeks a Senior Simulation Software Engineer to design and scale a cloud-hosted, high-performance robotics simulation pipeline. You will work with world-class AI researchers to translate cutting-edge algorithms into robust, real-world prototypes.

You will optimize GPU-accelerated simulators, build robust C++/Rust/Python components, and deploy large-scale cloud-based training workflows to close the simulation-to-reality gap.

Competenze

  • MS degree in CS/EE/Robotics.
  • 5+ years of robotics R&D experience.
  • Proficiency in Python and C++ on Linux.
  • Experience with robotics simulation frameworks (IsaacSim, Gazebo, PyBullet, MuJoCo).
  • Familiarity with URDF, SDFormat or USD.
  • Experience designing software components and cloud-based data pipelines.
  • Proficiency with Docker, Git, CI/CD and automated testing.
  • Strong troubleshooting and collaboration skills.

Mansioni

  • Develop Python, C++ and Rust components of a robotics simulation pipeline including asset conversion and cloud deployment.
  • Own components through concept to internal release.
  • Profile and optimize code for latency and throughput in simulation.
  • Collaborate with researchers to develop robotics algorithms in simulation.
  • Contribute to the Robot Intelligence Lab roadmap and release cadence.
  • Support reproducible AI development environments and cloud-based training workflows.

Conoscenze

Python
C++
Linux
Robotics
Cloud services
Docker
CI/CD
Documentation
Troubleshooting
Collaboration

Formazione

MS degree in CS/EE/Robotics

Strumenti

IsaacSim
Gazebo
PyBullet
MuJoCo
URDF
SDFormat
USD
Docker
Git

Descrizione del lavoro

Samsung Research America’s Robot Intelligence Lab seeks a Senior Simulation Software Engineer to design and scale a cloud-hosted, high-performance robotics simulation pipeline. You will work with world-class AI researchers to translate cutting-edge algorithms into robust, real-world prototypes.

You will optimize GPU-accelerated simulators, build robust C++/Rust/Python components, and deploy large-scale cloud-based training workflows to close the simulation-to-reality gap.

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