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Computer Science Robotics Jobs in Ohio (NOW HIRING)

$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

$80 - $120/hr

* Bachelor's or Master's degree in Cybersecurity, Computer Science, Robotics, or a related field; * 2-5 years of experience in security assessment, penetration testing, or red teaming; * Experience ...

New

$90 - $140/hr

A degree in Computer Science, Robotics, Software Engineering, Mechatronics, or a related field. * 3+ years of relevant work experience in robotics, software engineering, or a related technical field ...

New

Senior Robotics Software Engineer

Columbus, OH · On-site

$114K - $150K/yr

A Bachelor's in Computer Science, Robotics, Electrical Engineering, or Mathematics - or equivalent experience. * 5+ years building robotics software in modern C++ (Python a strong plus). * Hands-on ...

Senior Robotics Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

A Bachelor's in Computer Science, Robotics, Electrical Engineering, or Mathematics - or equivalent experience. * 5+ years building robotics software in modern C++ (Python a strong plus). * Hands-on ...

$140 - $210/hr

An excellent Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field. * 7+ years of hands‑on ML or robotics AI engineering, with at least 2 years in a formal or ...

New

$80 - $120/hr

Bachelor's or Master's degree in Cybersecurity, Computer Science, Robotics, or a related field; * 2-5 years of experience in security assessment, penetration testing, or red teaming; * Experience ...

Our Robotic Engineer Designs, configures, and deploys scalable process automation on solutions ... Computer science, applied physics, and history of mechanics preferred. Physical Demands * Office ...

$80 - $110/hr

Bachelor's degree in Computer Science, Robotics, Mechatronics, or a related technical field. * Strong working knowledge of Linux systems and associated debugging tools. * Experience with Linux ...

New

Our Robotic Engineer Designs, configures, and deploys scalable process automation on solutions ... Computer science, applied physics, and history of mechanics preferred. Physical Demands * Office ...

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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.

What are popular job titles related to Computer Science Robotics jobs in Ohio?

For Computer Science Robotics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Computer Science Robotics jobs in Ohio look for?

The top searched job categories for Computer Science Robotics jobs in Ohio are:

Infographic showing various Computer Science Robotics job openings in Ohio as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% In-person job distribution.

Robot Perception Expert (human)

NEURA Robotics

On-site

$120 - $180/hr

Other

Posted yesterday

New


Job description

Your mission & challenges

You’ll join the AI/Perception team to enable our robots to see, understand and interact with dynamic, human-occupied environments. You’ll be responsible for both designing deep-learning perception models and building the full sensor fusion and perception stack for humanoid and collaborative robots.

  • Help us architect and build the full perception pipeline: from raw sensor input (cameras, LiDAR, IMU, force/torque, joint sensors) through sensor-fusion, object detection and tracking, 3D reconstruction, scene understanding, up to producing actionable world models and supplying necessary information to downstream modules (navigation, manipulation, interaction).

  • Research the state-of-the-art in robot perception and deep learning and bring breaking results from academia to the real robot

  • Design, train and finetune neural networks and deploy them both in the cloud and on embedded robotic hardware

  • Implement real-time perception software in modern C++ and Python as needed; leveraging classical computer vision and GPU acceleration

  • Use ROS2 and DDS frameworks for high data-throughput sensor pipelines, and validate modules both in simulation (e.g., Gazebo, Isaac Sim) and on real robot platforms, ensuring safety and robustness.

  • Collaborate with hardware, control, planning and manipulation teams: define perception requirements, integrate sensor hardware, calibrate and optimize systems, develop diagnostics and performance tools, produce documentation and support CI/CD practices.

What we can look forward to
  • 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

  • Strong programming skills in Python or modern C++, experience with CUDA is a plus

  • Practical experience with deep-learning frameworks (PyTorch, TensorFlow) applied to perception tasks in robotics; deployment on robotics hardware (e.g., NVIDIA Jetson) is a plus

  • Solid background in computer vision and sensor fusion: 3D geometry, multi-view geometry, cameras/LiDAR/IMU fusion, point-cloud processing (PCL), and classical vision libraries (OpenCV)

  • Excellent problem-solving skills and the ability to work independently and as part of a team

  • Excellent English-language communication skills

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