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NVIDIA

Designs the chips and software that power AI

AI Developer Technology Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience.
  • At least 3 years of work experience.
  • Experience with C++, CUDA, Python, and Linux.
  • Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
  • Strong communication skills and an ambition to grow and learn about building machine learning applications, optimization, and software engineering.
  • Prior involvement with embodied AI or a history at humanoid robotics firms focused on physics simulation.

Responsibilities

  • Partner with leading robotics developers and research teams in China to design, optimize, and scale embodied AI workloads on NVIDIA platforms.
  • Develop on and extend frameworks such as Isaac Lab, Megatron Core, and VLM/VLA/WA inference frameworks, ensuring performance at scale.
  • Profile and optimize GPU-based physics simulation, robot foundation model training, and inference pipelines; drive the findings back into NVIDIA products.
  • Build reference workflows and samples for imitation learning, reinforcement learning, and VLA/WA/VLM model training and inference.
  • Discuss approaches and results with NVIDIA engineers and external developers to continuously improve processes.
  • Collaborate with architecture, research, libraries, tools, and system software teams to invent and develop next-generation architectures, software platforms, and programming models.
  • Represent NVIDIA technically at developer events, workshops, and customer engagements in the region.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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