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Computer Science Robotics Jobs (NOW HIRING)

NEURA Robotics

$120 - $180/hr

Excellent Master's or PhD degree in computer science, robotics, or a related field * 3+ years of relevant experience in building robust perception stacks for dynamic, human-centered environments

New

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 ...

Hikinex

Robotics Software Engineer

San Francisco, CA · On-site

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field. * Strong software development experience in Python. * Solid ...

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 ...

Dexmate

Research Intern, PhD (AI, Robotics)

Fremont, CA · On-site

Currently enrolled in a PhD degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, etc., or related technical field. * Passionate about working with robots. * Research ...

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 ...

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Computer Science Robotics information

What is 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.

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 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 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.

Can computer science work in robotics?

Yes, computer science is fundamental to robotics, as it involves programming, algorithms, and data processing to develop autonomous systems and control mechanisms. Skills in software development, machine learning, and robotics frameworks like ROS are commonly used in this field.

Is computer science robotics a high paying field?

Computer science robotics is generally a high-paying field, especially for roles such as robotics engineers and software developers with specialized skills in AI, machine learning, and automation. Salaries tend to increase with experience, advanced degrees, and expertise in tools like ROS or Python, making it a lucrative career option in technology industries.

What are four careers in computer science robotics?

Four careers in computer science robotics include robotics engineer, automation engineer, research scientist in robotics, and embedded systems developer. These roles typically require knowledge of programming languages like C++ or Python, and familiarity with robotics frameworks such as ROS. They involve designing, developing, and testing robotic systems across various industries.
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What states have the most Computer Science Robotics jobs?

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Computer Science Robotics jobs near you
Infographic showing various Computer Science Robotics job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Robotics Software Engineer

Pivot Robotics

San Francisco, CA • On-site

Full-time

Re-posted 17 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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