Applied Research Engineer – Robotics Data & ML
TuringSalary not specified
- Full Time
- Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Robotics, Autonomous Vehicles, Software DevelopmentIndustries
Requirements
The ideal candidate should possess a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Mechanical or Controls engineering, or an equivalent level of experience. Candidates must have at least 8 years of software development experience utilizing Python and a deep-learning software stack, including Pytorch, Tensorflow, and Jax. Experience with robotics and simulation workflows, encompassing reinforcement learning, imitation learning, motion planning, and trajectory optimization is also required. Familiarity with Isaac Sim, Omniverse, USD, MJCF, URDF, and CAD formats is highly desirable.
Responsibilities
This role involves working with partner companies to ensure developer and customer success with NVIDIA’s robot learning toolsets, such as perception-in-the-loop reinforcement learning, learning from demonstration via tele-operation, and multi-agent training. The position requires collaborating with research and engineering teams across NVIDIA to enable the next generation of humanoid robots. It also includes running physical applied research experiments in the robotics laboratory, automating workflows, scaling them massively in the cloud, and conducting extensive benchmarking. Finally, the engineer will contribute to the development and deployment of robot policies, both in simulation and for real-world applications.
Skills
Python
Deep Learning
PyTorch
TensorFlow
Jax
Reinforcement Learning
Imitation Learning
Motion Planning
Trajectory Optimization
Robotics
Simulation Workflows
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