Senior Machine Learning Engineer - Humanoid Robotics Loco-Manipulation at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, TechnologyIndustries

Requirements

  • PhD or Master’s degree in Computer Science, Robotics, or a related field (or equivalent experience)
  • 5+ years of experience working on robotics software
  • Strong programming skills in Python and C++
  • Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and physics simulation tools like Isaac Sim/Lab or MuJoCo
  • Expertise in foundation models for robotics and 3D perception
  • Experience with sim-to-real and real-to-sim transfer in robotics
  • Deep knowledge of robot learning, including imitation and reinforcement learning
  • Hands-on experience training Vision-Language-Action (VLA) models
  • Experience generating synthetic data for robotics applications
  • Great communication and collaboration skills

Responsibilities

  • Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation areas
  • Contribute to the development and advancement of GR00T and Cosmos foundation models
  • Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks
  • Advance technologies for robot learning and synthetic data generation using human videos
  • Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments
  • Transfer innovations into products, with deliverables including prototypes, open source software contributions, patents, and/or publications in top conferences and journals

Skills

Python
C++
PyTorch
JAX
TensorFlow
Isaac Sim
Isaac Lab
MuJoCo
robotics foundation models
3D perception
sim-to-real transfer
reinforcement learning
imitation learning
VLA models
synthetic data generation

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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