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Full Time Ai Robotics Jobs (NOW HIRING)

RoboForce

AI Resident

Milpitas, CA · On-site

$10K/mo

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... months, full-time Compensation: * $10,000 monthly salary Benefits: * Company-provided lunch and ...

Scout AI

Robotics Software Engineer

Sunnyvale, CA · On-site

$145K - $220K/yr

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees. US Salary ...

RoboForce

AI Resident

Milpitas, CA

$10K/mo

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... months, full-time Compensation: * $10,000 monthly salary Benefits: * Company-provided lunch and ...

Carbon Robotics

Technical Recruiter

Seattle, WA · On-site +1

$120K - $135K/yr

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:

Carbon Robotics

Technical Recruiter

Seattle, WA · On-site

$120K - $135K/yr

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:

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

As of Aug 15, 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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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.

Deep Learning - Robot Manipulation Engineer

Persona AI

Houston, TX • On-site

Full-time

Medical, PTO

Re-posted 29 days ago

Job description

Job Title: Deep Learning - Robot Manipulation Engineer
Department: Machine Learning
Reports To: Head of Machine Learning
Employment Type: Full-Time
Location: Houston, TX
Travel: 10%
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, and continuous learning.

About the Role
We're looking for a Deep Learning Manipulation Engineer to help train Persona AI robots to do real work in real world environments. We're looking for exceptional people who dream big, thrive on challenges, and love seeing their efforts come to life. We are primarily interested in candidates who have developed and released products to the market, but can be flexible depending on aptitude and energy.
As one of the inaugural Deep Learning Manipulation Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's deep learning and manipulation strategy and infrastructure. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
What You Will Be Doing
  • Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
  • Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation.
  • Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies.
  • Work with the teleoperation and data team to design data collection and versioning strategies.
  • Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks.
  • Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors.
  • Collaboratively develop and optimize the manipulation ML pipeline.
  • Keep up to date with the state of the art in research and development.
  • Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

What We Are Looking For:
  • Courage and grit to tackle some of the hardest problems in robot manipulation.
  • Enthusiasm for working collaboratively in fast paced ambiguous environments.
  • Masters or PhD in Robotics, Computer Science, or a related field.
  • 3+ years of experience in applying deep learning to robotic manipulation.
  • Strong understanding and proficiency with state of the art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc.
  • Experience with cloud computing and large-scale datasets.
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high quality software.
  • Strong first principles thinker.

Bonus Skills:
  • Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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