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Computer Science Robotics Jobs (NOW HIRING)

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

Preferred Qualifications * BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. * Experience in designing robotic manipulation ...

Divergent

Industrial Robotics Engineer

Torrance, CA · On-site

Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience. * Proficient in programming languages such as C++ and Python. * Strong knowledge of data ...

Divergent

Industrial Robotics Engineer

Torrance, CA · On-site

Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience. * Proficient in programming languages such as C++ and Python. * Strong knowledge of data ...

Divergent

Senior Software Engineer, Robotics

Torrance, CA

$127K - $168K/yr

Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience. * Proficient in programming languages such as C++ and Python. * Strong knowledge of data ...

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

Master's degree or higher in Computer Science, Robotics, or a related field * Experience with AWS IoT, Greengrass, or similar edge-cloud architectures * Experience in logistics, warehousing, or ...

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Computer Science Robotics information

What is the difference between Computer Science Robotics vs Mechanical Engineering?

AspectComputer Science RoboticsMechanical Engineering
Required CredentialsBachelor's or Master's in Computer Science, Robotics, or related fieldsBachelor's or Master's in Mechanical Engineering or related fields
Work EnvironmentSoftware development labs, robotics programming environmentsDesign and testing labs, manufacturing facilities
Employer & Industry UsageTech companies, research institutions, automation firmsManufacturing, automotive, aerospace industries
Common Search & Comparison IntentUnderstanding roles involving programming and software in roboticsUnderstanding hardware design and mechanical systems in robotics

Computer Science Robotics focuses on programming, algorithms, and software development for robotic systems, while Mechanical Engineering emphasizes designing, building, and testing the physical components of robots. Both fields often collaborate but serve different core functions within robotics development.

What are the key skills and qualifications needed to thrive as a Computer Science Robotics professional, and why are they important?

To thrive in Computer Science Robotics, you need a strong background in programming languages (such as Python, C++, or ROS), algorithms, and robotics engineering, typically backed by a degree in computer science, robotics, or a related field. Familiarity with robotics platforms, simulation software, machine learning frameworks, and certifications like ROS or robotics-specific courses are highly valuable. Critical thinking, problem-solving, teamwork, and effective communication are essential soft skills for tackling complex challenges and collaborating on interdisciplinary projects. These skills and qualifications ensure the development, deployment, and continual improvement of advanced robotic systems in real-world environments.

What are some common challenges faced by professionals working in computer science robotics, and how can they be addressed?

Professionals in computer science robotics often encounter challenges such as integrating software with complex hardware systems, ensuring reliable sensor data processing, and managing real-time system constraints. Collaborating effectively with multidisciplinary teams—including mechanical, electrical, and software engineers—is crucial to overcoming these obstacles. Staying current with rapidly evolving technologies and maintaining a strong foundation in both programming and robotics principles can help address these challenges. Participating in regular code reviews and system testing also contributes to smoother project development and deployment.

What are computer science robotics?

Computer science robotics is a field that combines computer science principles with robotics engineering to design, program, and control robots. Professionals in this field work on creating software and algorithms that allow robots to perceive their environment, make decisions, and perform tasks autonomously. The field covers areas such as artificial intelligence, machine learning, computer vision, and sensor integration. Careers in computer science robotics are found in industries like manufacturing, healthcare, space exploration, and consumer electronics. This interdisciplinary field requires knowledge of both programming and hardware systems.
More about Computer Science Robotics jobs
What cities are hiring for Computer Science Robotics jobs? Cities with the most Computer Science Robotics job openings:
What states have the most Computer Science Robotics jobs? States with the most job openings for Computer Science Robotics jobs include:
What job categories do people searching Computer Science Robotics jobs look for? The top searched job categories for Computer Science Robotics jobs are:
Computer Science Robotics jobs near you
Infographic showing various Computer Science Robotics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Robotics Software Engineer

Pivot Robotics

San Francisco, CA • On-site

Full-time

Posted 7 days ago

Job description

Roles and Responsibilities
  • Design and develop robust, scalable, and maintainable software for industrial robotic systems.
  • Implement motion planning, trajectory optimization, and real-time control algorithms.
  • Develop vision-based automation by integrating sensors (cameras) with robotics systems.
  • Optimize software for performance, reliability, and deployment on embedded and cloud-based platforms.
  • Apply strong software engineering principles, including code modularity, testing, version control, and CI/CD.
  • Conduct simulations and real-world experiments to validate robotic system performance.
  • Collaborate across disciplines, working with hardware engineers, controls engineers, etc.
  • Contribute to system architecture decisions, ensuring efficiency and scalability.
Minimum Qualifications
  • B.S. degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or related fields.
  • Strong programming skills in Python with a focus on software engineering best practices.
  • Proficiency in robotics fundamentals, including kinematics, dynamics, control theory, and state estimation.
  • Proficiency in version control (Git), software testing, and debugging techniques.
  • Self-motivated problem solver who thrives in a fast-paced, collaborative environment.
  • Due to U.S. export control regulations (ITAR), this position is limited to U.S. Persons (U.S. citizens or lawful permanent residents)
Optional Qualifications
  • M.S. degree in Robotics, Computer Science, or related field.
  • Experience with ROS (Robot Operating System) and/or other robotic middleware.
  • Strong understanding of motion planning algorithms, trajectory generation, and real-time control.
  • Familiarity with industrial robot arms, PLCs, or real-time control frameworks.
  • Experience optimizing software for edge devices.
  • Knowledge of distributed computing architectures.

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