Senior Software Engineer, Robotics - Isaac Lab at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, AIIndustries

Requirements

  • BS, MS, or PhD degree in Computer Science or relevant field (or equivalent experience)
  • Extensive experience in software development with Python and the deep-learning software stack (Pytorch, Tensorflow, Jax, etc.)
  • 5+ years of experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization
  • Extensive experience with robotics simulation platforms, coupled with a deep understanding of physics-based simulation and expertise in tuning simulation parameters for accuracy and performance
  • Strong foundation in software engineering best practices, including proficiency with Git, CI/CD workflows, docker, debugging methodologies, and comprehensive testing strategies; experience contributing to and maintaining open-source software projects
  • Proficiency in using profiling and performance analysis tools to identify bottlenecks and optimize CPU and GPU workloads, ensuring efficient and scalable system performance

Responsibilities

  • Develop the next features for our platform, such as perception-in-the-loop reinforcement learning, learning from demonstration via tele-operation, and multi-agent training
  • Automate our workflows and scale them massively in the cloud
  • Perform extensive benchmarking and profiling to ensure best-in-class system performance and scalability
  • Collaborate with research and engineering teams all across NVIDIA, such as DEX and GEAR, to enable the next generation of humanoid robots
  • Participate in code reviews, system design discussions, and contribute to internal and open-source software
  • Engage with the robotics industrial and research communities

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowJAXReinforcement LearningImitation LearningMotion PlanningTrajectory OptimizationRobotics SimulationPhysics SimulationBenchmarkingProfiling

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this Senior Software Engineer role?

Candidates need a BS, MS, or PhD in Computer Science or equivalent, extensive Python and deep-learning stack experience (Pytorch, Tensorflow, Jax), 5+ years in robotics and simulation including reinforcement learning and motion planning, expertise in robotics simulation platforms and physics tuning, plus strong software engineering practices with Git, CI/CD, Docker, and profiling tools.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, encouraging environment where everyone is inspired to do their best work, with forward-thinking and hardworking people.

What makes a candidate stand out for this role?

Stand out with prior experience in Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco, having trained a robot in simulation and deployed sim-to-real, or publications in major AI and robotics conferences.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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