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Openai Robotics Jobs (NOW HIRING)

Stellantis

Generative AI Lead

Auburn Hills, MI · On-site

$158K/yr

LLMs (OpenAI, Azure OpenAI, etc.) * Prompt engineering and RAG architectures * Experience building ... ROS (Robot Operating System) for robotics/manufacturing use cases * Edge computing and IoT systems

Generalist AI, Inc

Product Design

San Mateo, CA · On-site

$215K/yr

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other ...

New

Figure

Helix AI Engineer, Pretraining

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google ...

Figure

Helix AI Engineer, Pretraining

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google ...

iCatalyst Inc

Sr. AI Developer

Mclean, VA · On-site

$55 - $72.75/hr

... (RPA). Since 2007, we've partnered with federal and commercial clients to deliver innovative ... Azure OpenAI Service. * Azure AI Studio. * Azure AI Search (vector search). * Cognitive Services ...

Figure

Helix AI Engineer, Modeling

San Jose, CA · On-site

Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI * Familiarity with embodied AI, robotics, or real-world ML systems * Experience with large ...

Figure

Helix AI Engineer, Modeling

San Jose, CA · On-site

Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI * Familiarity with embodied AI, robotics, or real-world ML systems * Experience with large ...

Stellantis

Generative AI Lead

Auburn Hills, MI · On-site

$158K/yr

... Azure OpenAI, etc.) • Prompt engineering and RAG architectures • Experience building AI ... of ROS (Robot Operating System) for robotics/manufacturing use cases • Knowledge of edge ...

New

Pavago

AI Automation Specialist

AI Automation Specialist (AI Workflows + Zapier + Make + OpenAI + Process Automation) Full-Time ... AI optimization * RPA tools * UiPath * Automation Anywhere What Makes You a Strong Fit * You ...

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How much do openai robotics jobs pay per year?

As of Jun 7, 2026, the average yearly pay for openai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Openai Robotics jobs? Cities with the most Openai Robotics job openings:

Research Scientist: Pretraining

Generalist AI, Inc

San Mateo, CA • On-site

$200K - $350K/yr

Full-time

Posted yesterday

Job description

About the Role
You will build the base intelligence layer for robotics. We train large-scale robot foundation models from massive multimodal datasets spanning video, proprioception, action traces, language, and more. You will design and run the core large-scale training efforts that give our models fundamentally new general capabilities across embodiments, tasks, and environments. You will "live and breathe" all forms of robot data.
You'll be responsible for:
  • Designing and executing large-scale pretraining runs for robot foundation models (transformer- and diffusion-based architectures)
  • Defining model architectures, objectives, and training curricula across multimodal robotic data (vision, action, state, language)
  • Developing scalable data mixtures and sampling strategies across petabyte-scale datasets
  • Guiding data collection operations towards new directions, as well as sourcing new datasets
  • Running ablations to understand scaling laws, data quality effects, and architecture tradeoffs
  • Collaborating closely with ML Infra and Systems to push cluster utilization, throughput, and reliability
  • Turning raw robotic interaction data into generalizable model capabilities

You might thrive in this role if you:
  • Have deep experience training large transformer or diffusion models at scale (for generative models e.g. including language models, audio models, or video models)
  • Have led or significantly contributed to multi-node, multi-GPU distributed training efforts
  • Have worked on scaling laws, optimization dynamics, and large-model failure modes
  • Have strong PyTorch fundamentals and comfort debugging at every layer of the stack
  • Care about both empirical rigor and raw iteration speed
  • Are excited about building general-purpose robot intelligence from first principles
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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