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Ai Robotics Jobs (NOW HIRING)

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Ai Robotics information

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$84K

$96K

$116.5K

How much do ai robotics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for 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 are the typical daily responsibilities of someone working in AI Robotics?

Professionals in AI Robotics spend their days designing, programming, and testing intelligent robotic systems to perform tasks autonomously or semi-autonomously. This often includes collaborating with cross-functional teams such as hardware engineers, data scientists, and software developers to integrate AI algorithms with physical devices. You might also troubleshoot issues, refine machine learning models, and participate in project planning or technical reviews. Most roles offer a dynamic work environment, blending hands-on lab work, simulations, and software development, ensuring no two days are exactly alike.

What is an AI Robotics job?

An AI Robotics job involves designing, developing, and programming intelligent robots that can perceive, learn, and interact with their environment. Professionals in this field work with artificial intelligence, machine learning, and robotics to create automation solutions for industries like healthcare, manufacturing, and logistics. They typically have expertise in software development, robotics engineering, and AI algorithms.

What are the key skills and qualifications needed to thrive in the Ai Robotics position, and why are they important?

To excel in AI Robotics, you need expertise in robotics engineering, machine learning, and computer programming, usually backed by a degree in robotics, computer science, or a related field. Proficiency in tools like ROS (Robot Operating System), Python, C++, and simulation platforms such as Gazebo is critical, and certifications in AI or robotics can be advantageous. Strong problem-solving skills, creativity, and effective teamwork are valuable soft skills that set top professionals apart. These competencies ensure the design, development, and deployment of innovative robotic solutions that operate efficiently and safely in real-world environments.

More about Ai Robotics jobs
What cities are hiring for Ai Robotics jobs? Cities with the most 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 Ai Robotics jobs? States with the most job openings for Ai Robotics jobs include:
What job categories do people searching Ai Robotics jobs look for? The top searched job categories for Ai Robotics jobs are:
Infographic showing various Ai Robotics job openings in the United States as of May 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

AI/Robotics Product Manager

Hyphen Connect Limited

San Francisco, CA โ€ข On-site

Full-time

Posted 16 days ago


Job description

We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.
Responsibilities:
  • Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
  • Define safety, usability, and performance metrics for the engineering teams.
  • Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
  • Lead cross-functional teams to ensure successful product delivery.
  • Develop and maintain a product roadmap that aligns with strategic business goals.

Required Skills:
  • Technical background in AI, computer science, or engineering.
  • Proven experience shipping complex hardware or deep-tech software products.
  • Exceptional ability to communicate complex concepts to both engineers and stakeholders.
  • Strong analytical skills and a data-driven decision-making approach.