ZipRecruiter

Log In

2

Full Time Ai Robotics Jobs (NOW HIRING)

NIO USA, INC

AI Robotics Researcher

San Jose, CA

About the Position We are seeking exceptional AI Robotics Researchers to join our next-generation ... Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the ...

Figure

Robotics Integration Engineer

San Jose, CA · On-site

$170K - $250K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed ... The US base salary range for this full-time position is between $170,000 - $250,000 annually. The ...

Nastech Global

AI Researcher

Mountain View, CA · On-site

AI Researcher Location: Mountain View, CA / Warren,MI(onsite) Job Type: Full time Research in advanced areas of Computer vision for COBOTS & Autonomous Robots for Manufacturing Plant. The role ...

Braintrust

Robotics Software Engineer - Boston

Needham, MA · On-site

$35 - $50/hr

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive ... This contract role has the potential to convert to a full-time position based on performance, fit ...

New

Braintrust

Robotics Software Engineer - Boston

Woburn, MA · On-site

$35 - $50/hr

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive ... This contract role has the potential to convert to a full-time position based on performance, fit ...

New

next page

Showing results 1-20

All JobsFull Time Ai Robotics Jobs

Full Time Ai Robotics information

See salary details

$84K

$96K

$116.5K

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

As of Jul 4, 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.

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, and why are they important?

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.
More about Full Time Ai Robotics jobs
What cities are hiring for Full Time Ai Robotics jobs? 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? States with the most job openings for Full Time Ai Robotics jobs include:
What job categories do people searching Full Time Ai Robotics jobs look for? The top searched job categories for Full Time Ai Robotics jobs are:
Full Time Ai Robotics jobs near you
Infographic showing various Full Time Ai Robotics job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

AI Robotics Researcher

NIO USA, INC

San Jose, CA

Full-time

Posted 14 days ago

Job description

About NIO

NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of “Blue Sky Coming”.

NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth.

NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand.


About the Position

We are seeking exceptional AI Robotics Researchers to join our next-generation intelligent systems team—pioneering the intersection of embodied AI, dexterous robotic manipulation, and physical world understanding. This role is ideal for PhD students or recent graduates passionate about bridging fundamental AI research with real-world robotic impact—from developing generalizable models for robot perception and control to enabling dexterous robotic hands to manipulate complex objects in unstructured environments.

You will tackle challenges that lie at the heart of embodied intelligence: how robots perceive, reason, and act in the physical world. You’ll work on models that unify visual, tactile, and proprioceptive learning; build world models that enable prediction and generalization; and deploy AI-driven robots that interact safely and effectively in the real world.

Your work won’t stay on paper—you’ll see it come to life through physical robots performing complex tasks, making your research tangible, visible, and impactful across warehouses, factories, and mobility environments. This position offers the rare opportunity to combine cutting-edge research freedom with practical real-world deployment, shaping the next wave of intelligent embodied systems.

Roles and Responsibilities
  • Conduct original research in embodied AI, robotic manipulation, and world modeling—including perception, planning, and control.
  • Develop and evaluate large-scale multimodal models that integrate vision, language, proprioception, and tactile inputs for real-world robotic tasks.
  • Create and prototype algorithms for dexterous robotic hands, contact-rich manipulation, and adaptive task generalization.
  • Explore methods for sim-to-real transfer, self-supervised physical interaction learning, and reinforcement learning in dynamic environments.
  • Collaborate with hardware and systems teams to translate research into real robotic systems—from simulation to physical deployment.
  • Publish and present your work at top-tier venues (e.g., CoRL, ICRA, RSS, NeurIPS) and contribute to advancing the state of embodied AI globally.
  • Shape the long-term roadmap of NIO’s embodied intelligence initiative, defining the frontier of AI-powered robotics in real-world domains.
Qualifications
  • Master’s or Ph.D. in Robotics, Computer Science, Artificial Intelligence, Mechanical/Electrical Engineering, or related fields.
  • Deep understanding of robot learning, reinforcement learning, imitation learning, world modeling, or differentiable physics simulation.
  • Hands-on experience with robotic manipulation, grasp planning, tactile sensing, or multi-sensor fusion.
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow), and robotics middleware such as ROS2.
  • Demonstrated ability to conduct independent research and publish in leading AI/robotics venues.
  • Strong analytical and system-building skills; ability to work across simulation, perception, control, and physical robot hardware.
Preferred Qualification
  • Ph.D. (or Ph.D. candidate expecting graduation within 6–12 months).
  • Track record of publications in top AI or robotics conferences (CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, ICML).
  • Experience with dexterous manipulation systems, multi-fingered hands, or grasp optimization.
  • Familiarity with 3D perception, neural implicit representations, or foundation models for robotics.
  • Experience in sim-to-real transfer, real-time control, or model-based RL.
  • Passion for applying AI to physical systems and creating robots that solve real problems in the real world.
Compensation
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

Benefits

Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO:

  • Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.  
  • Dental (including orthodontic coverage) and vision plan.  Both provide options with a $0 paycheck contribution covering you and your eligible dependents.
  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with Brokerage Link option
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time
  • 13 Paid Holidays a year
  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)
  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)
  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance
  • Commuter benefits
  • Mobile Cell Phone Credit
  • Free lunch and snacks
  • Onsite gym
  • Employee discounts and perks program

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.