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Full Time Ai Robotics Jobs (NOW HIRING)

Figure

Helix AI Engineer, Pretraining

San Jose, CA · On-site

$200K - $400K/yr

Familiarity with embodied AI, robotics, or real-world deployment constraints * Publication record in machine learning, NLP, or multimodal AI The US base salary range for this full-time position is ...

Figure

Helix AI Engineer, Agentic Systems

San Jose, CA · On-site

$200K - $400K/yr

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal ... robots that operate in the real world The US base salary range for this full-time position is ...

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment ... for full-time employees: * 401(k) Plan: Includes a 6% company match. * Equity: Company stock ...

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment ... for full-time employees: * 401(k) Plan: Includes a 6% company match. * Equity: Company stock ...

Figure

Helix AI Engineer, Agentic Systems

San Jose, CA

$200K - $400K/yr

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal ... robots that operate in the real world The US base salary range for this full-time position is ...

Figure

Humanoid Robot Pilot

San Jose, CA · On-site

$32/hr

... working with the AI team to refine behaviors over time. This is a full-time 6 month fixed-term position, paid hourly. It's a strong entry point into robotics: high-performing Pilots have ...

Figure

Humanoid Robot Pilot

San Jose, CA · On-site

$32/hr

... working with the AI team to refine behaviors over time. This is a full-time 6 month fixed-term position, paid hourly. It's a strong entry point into robotics: high-performing Pilots have ...

RoboForce

Senior Robotics Systems Engineer

Milpitas, CA · On-site

$160K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

Carbon Robotics

Sr. Software Engineer, Robot Systems

Seattle, WA · On-site

$190K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more ... We offer competitive compensation and benefits to our full time US based* employees, including:

RoboForce

Senior Robotics Systems Engineer

Milpitas, CA · On-site

$160K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA

$200K - $400K/yr

Prior work in robotics, embodied AI, or real-world ML systems * Publication record in machine learning, computer vision, or generative modeling The US base salary range for this full-time position is ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

Prior work in robotics, embodied AI, or real-world ML systems * Publication record in machine learning, computer vision, or generative modeling The US base salary range for this full-time position is ...

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Full Time Ai Robotics information

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$84K

$96K

$116.5K

How much do full time ai robotics jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full time ai 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.

Is full time AI robotics a good career?

Full time AI robotics is a growing field that involves developing and deploying intelligent robotic systems using skills in programming, machine learning, and hardware integration. It offers opportunities in industries such as manufacturing, healthcare, and autonomous vehicles, often requiring advanced education and continuous learning. Job stability and salary potential are generally favorable for qualified professionals in this sector.

What is the difference between Full Time Ai Robotics vs Full Time Machine Learning Engineer?

AspectFull Time Ai RoboticsFull Time Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics hardware and softwareBachelor's or higher in Computer Science, AI, or related fields; strong programming and statistical skills
Work EnvironmentHands-on with robotics hardware, sensors, and embedded systems in labs or manufacturing settingsSoftware development, data analysis, and model training primarily in office or remote settings
Employer & Industry UsageManufacturers, research labs, tech companies developing autonomous systemsTech firms, startups, research institutions focusing on AI and data-driven solutions

Full Time Ai Robotics roles focus on integrating AI with robotics hardware, requiring knowledge of both software and physical systems. In contrast, Full Time Machine Learning Engineers primarily develop algorithms and models in software environments. While both roles involve AI, Ai Robotics emphasizes hardware interaction, whereas Machine Learning Engineers concentrate on data and software modeling.

What are some common challenges faced by professionals in full time AI robotics roles, and how can they be addressed?

Professionals in full-time AI robotics positions often encounter challenges such as integrating AI algorithms with complex hardware systems, ensuring real-time data processing, and maintaining effective collaboration between multidisciplinary teams (software engineers, mechanical engineers, and data scientists). Addressing these challenges typically requires strong communication skills, a thorough understanding of both robotics hardware and AI software, and continuous learning to keep up with rapid technological advancements. Regular cross-functional meetings and hands-on prototyping sessions can also help streamline problem-solving and accelerate project timelines.

What are the key skills and qualifications needed to thrive as a full time AI robotics engineer?

To thrive as a Full Time AI Robotics Engineer, you need a strong background in computer science, robotics, machine learning, and engineering, often supported by a relevant degree such as in electrical engineering, computer science, or robotics. Familiarity with programming languages like Python or C++, robotics platforms such as ROS (Robot Operating System), and experience with AI frameworks like TensorFlow or PyTorch are typically required. Problem-solving ability, creativity, and effective teamwork are crucial soft skills in this field. These competencies enable the design, implementation, and optimization of intelligent robotic systems that function reliably in real-world environments.

What is a full time AI robotics job?

A Full Time AI Robotics job involves working as a professional who designs, develops, and maintains robotic systems powered by artificial intelligence. These roles typically require expertise in programming, machine learning, robotics engineering, and sometimes hardware integration. Full-time AI Robotics professionals work on projects like autonomous vehicles, industrial automation, healthcare robots, or research and development. They often collaborate with interdisciplinary teams to build intelligent machines that can perceive, learn, and act in complex environments. The position usually offers a standard workweek and full employee benefits.
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Cities with the most Full Time Ai Robotics job openings:

What are the most commonly searched types of Ai Robotics jobs?

The most popular types of Ai Robotics jobs are:

What states have the most Full Time Ai Robotics jobs?

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Full Time Ai Robotics jobs near you
Infographic showing various Full Time Ai Robotics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Helix AI Engineer, Pretraining

Figure

San Jose, CA • On-site

$200K - $400K/yr

Full-time

Re-posted 7 days ago

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.
Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.
This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability-forming the backbone for downstream capabilities in perception, planning, and action.
Responsibilities
  • Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
  • Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
  • Explore and implement architectures including transformer-based and emerging foundation model paradigms
  • Work on scaling laws, dataset mixture design, and training dynamics for frontier models
  • Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
  • Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
  • Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
  • Contribute to post-training approaches including fine-tuning, alignment, and model adaptation
Requirements
  • Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
  • Strong understanding of modern deep learning architectures, especially transformers
  • Experience with large-scale distributed training and optimization
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Strong experimental rigor and ability to iterate on model design and training strategies
  • Solid software engineering skills and ability to build scalable, reliable systems
  • Ability to operate independently and drive ambiguous, high-impact technical problems
Bonus Qualifications
  • Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
  • Experience with multimodal pretraining (vision-language or vision-language-action models)
  • Background in scaling laws, dataset curation, and large-scale data mixture optimization
  • Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
  • Familiarity with embodied AI, robotics, or real-world deployment constraints
  • Publication record in machine learning, NLP, or multimodal AI

The US base salary range for this full-time position is between $200,000 - $400,000
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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