Engineering Manager – Humanoid Loco-Manipulation at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Technology, AIIndustries

Requirements

Advanced degree (PhD or Master’s) in Computer Science, Robotics, or a related field
2 years of experience in technical leadership or team management in robotics, autonomous driving, machine learning, or related domains
Strong hands-on programming skills in Python and C++; experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo)
Excellent communication, organizational, and interpersonal skills
Experience with large-scale model training on GPU clusters
Hands-on experience in robotics simulation, sim-to-real and real-to-sim transfer
5+ overall years of experience working on robotics technologies

Responsibilities

Lead, mentor, and grow a high-performing team of applied research engineers focused on humanoid loco-manipulation and mobile manipulation
Drive the definition, planning, and execution of projects involving foundation models (GR00T, Cosmos), Isaac Lab, and Newton workflows
Guide the team in advancing robot learning technologies and synthetic data generation from human video datasets
Hands-on design, implementation, and deployment of novel algorithms for humanoid robot locomotion and manipulation in simulation and real-world environments
Ensure seamless integration of applied research outputs with NVIDIA’s advanced robotics platforms
Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications in top conferences and journals
Collaborate cross-functionally with product, hardware, and software teams to translate research into impactful products
Support career development, performance management, and recruitment of top talent

Skills

Python

C++

PyTorch

JAX

TensorFlow

Isaac Sim

Isaac Lab

MuJoCo

deep learning

robotics simulation

sim-to-real

GPU clusters

machine learning

foundation models

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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