NVIDIA
NVIDIA
NVIDIA kuria spartinto skaičiavimo ir dirbtinio intelekto technologijas, naudojamas žaidimų, duomenų centrų, debesų kompiuterijos, sveikatos priežiūros, gamybos, automobilių pramonės ir robotikos srityse. Įmonės veikla apima grafikos procesorius, dirbtinio intelekto platformas, modeliavimo sprendimus ir konkrečioms pramonės šakoms skirtus sprendimus, įskaitant NVIDIA Omniverse bendradarbiavimu grindžiamiems 3D procesams, NVIDIA DRIVE autonominių transporto priemonių kūrimui ir NVIDIA Clara sveikatos priežiūros taikomosioms programoms. Įmonė suburia dideles technines komandas, dirbančias su infrastruktūra ir programine įranga, palaikančia pažangų skaičiavimą, modeliavimą ir dirbtiniu intelektu grindžiamą analitiką.

AI Developer Technology Engineer, Embodied AI

Work with robotics developers and research teams in China to optimize embodied AI workloads on NVIDIA GPUs. Build and improve simulation, training, and inference workflows for robotics models.

Aprašymas

  • Collaborate with robotics developers and research teams in China to design and scale embodied AI workloads on NVIDIA platforms.
  • Extend frameworks including Isaac Lab, Megatron Core, and VLM/VLA/WA inference tools to support performance at scale.
  • Analyze and optimize GPU physics simulation and robot foundation model training and inference pipelines, then feed results into NVIDIA products.
  • Create example workflows for imitation learning, reinforcement learning, and VLA, WA, and VLM model training and inference.
  • Share methods and results with NVIDIA engineers and external developers to improve development processes.
  • Work with architecture, research, libraries, tools, and system software teams on new architectures, software platforms, and programming models.
  • Represent NVIDIA at regional developer events, workshops, and customer meetings.

Reikalavimai

  • Bachelor’s degree in computer science, robotics, engineering, or a related discipline, or equivalent experience.
  • At least three years of professional experience.
  • Experience with C++, CUDA, Python, and Linux.
  • Hands-on experience with one or more physics simulators, such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
  • Strong communication skills and an interest in learning and growing in machine learning applications, optimization, and software engineering.
  • Experience in embodied AI or work at a humanoid robotics company focused on physics simulation.

Privalumai

  • Competitive salary.
  • Comprehensive benefits package.

Susiję darbai

Eon

Senior Accountant (Colorado, Remote)

Eon

Support Eon’s healthcare accounting operations across accounts payable, payroll, reconciliations, and monthly close. Help maintain financial controls and audit readiness while supporting treasury accounting.

Atidaryti
Tech Holding

Remote Machine Learning Engineer Contract in Mexico

Tech Holding

Build NLP and LLM models for Tech Holding’s AI-powered risk intelligence platform. Deploy scalable services to identify disinformation, reputational attacks, and security threats.

Atidaryti
Tech Holding

Remote Contract Machine Learning Engineer

Tech Holding

Build NLP and large language model systems for Tech Holding’s enterprise risk intelligence platform. Deploy monitored services that help detect disinformation, reputational attacks, and security threats.

Atidaryti
Verizon

Distinguished Machine Learning and AI Engineer

Verizon

Lead development of agentic AI and propensity models at Verizon. The work supports personalized experiences, churn reduction, and customer journey optimization.

Atidaryti
Verizon

Senior Distinguished Engineer, Machine Learning and AI

Verizon

Lead agentic AI, large language model, and propensity modeling work for Verizon’s telecom customers. Improve personalization and customer retention through production machine learning operations.

Atidaryti
E

Expert Data Scientist, Fraud Risk Detection at Experian (Remote, US)

Experian

Build and assess machine learning models and predictive features to detect fraud and identity risk at Experian. The role uses Python and PySpark and supports deployment in batch, retrospective, and real-time decisioning systems.

Atidaryti