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Computer Science Robotics Jobs in Ohio (NOW HIRING)

NEURA Robotics

A university degree (Bachelor's or Master's) in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Computational Engineering, or a related field * At least three years of relevant ...

NEURA Robotics

Completed or ongoing studies in Engineering, Computer Science, Artificial Intelligence, Robotics, Automation, or a related technical field, or equivalent practical experience. * Very well Skills in ...

NEURA Robotics

Bachelor's or Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. * 3-5+ years of experience in test automation, system testing ...

NEURA Robotics

Secure robotics: Harden RTOS environments (e.g. FreeRTOS, Zephyr, ROS 2/SROS2) and secure ... MSc in Computer Science, Electrical Engineering, Embedded Systems, IT Security, or related field.

Varsity Tutors

Robotics Tutor

Cleveland, OH · Remote

$40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Varsity Tutors

Robotics Tutor

Akron, OH · Remote

$40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Varsity Tutors

Robotics Tutor

Cincinnati, OH · Remote

$40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Varsity Tutors

Robotics Tutor

Columbus, OH · Remote

$40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

NEURA Robotics

A degree in Robotics, Computer Science, Software Engineering, Mechatronics, or a related field. * 2+ years of relevant work experience in robotics, software engineering, or a related technical field ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

Jupyter, Data Robot preferred * AI tools preferred * BS w/financial svcs or auto industry exp. required Required: * Bachelor's degree (Major in statistics, computer science, economics, engineering or ...

NEURA Robotics

$88K - $118K/yr

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

NEURA Robotics

Our engineering teams build robots -- and the infrastructure they depend on starts with you. As a ... Degree in Computer Science, Information Technology, or a related field -- or equivalent vocational ...

NEURA Robotics

... Computer Science, or a comparable technical field * Minimum 2 years of professional experience in system testing, hardware testing, or integration testing * Solid understanding of robotic system ...

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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:

Computer Science Robotics jobs near you
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.

Robotics Simulation Expert (human)

On-site

NEURA Robotics
See more jobs at NEURA Roboticsexternal

Other

Posted 8 days ago

Job description

The robotics of the future isn't just developed on real machines — it's built in simulation first. At NEURA Robotics, we're looking for someone who doesn't just operate complex simulation environments, but uses them systematically to objectively evaluate learning and control methods, and to pave the way from simulation to the real world.

Your mission & challenges
  • Simulation, Benchmarking & Evaluation: You build, configure, and operate complex robotics simulations. You develop standardized benchmark environments and test cases, run regular in-the-loop tests, and evaluate different control, planning, and learning approaches against clearly defined metrics.
  • Experiment Design & Reproducibility: You design reproducible simulation and evaluation experiments, conduct systematic ablation studies, and ensure clean versioning and documentation of scenarios, configurations, and results — including structured benchmark reports.
  • Sim-to-Real & Model Validation: You analyze the transferability of simulation results to real robot platforms, identify and quantify sim-to-real gaps (e.g. dynamics, sensor noise, contact models), and calibrate simulation parameters for maximum physical realism.
  • Collaboration & Interfaces: You work closely with ML, robotics, and software teams, jointly define benchmarks and quality thresholds with NEURA, and present simulation results clearly and accessibly to technical stakeholders.
What we can look forward to
  • A university degree (Bachelor's or Master's) in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Computational Engineering, or a related field
  • At least three years of relevant professional experience in robotics simulation, benchmarking, or model-based evaluation — with proven hands‑on experience in research or industry
  • Strong expertise in MuJoCo (contact models, actuation, sensors, XML models) and experience with multi‑GPU‑accelerated simulation environments such as NVIDIA Isaac Sim or PyBullet
  • Confident handling of robot and environment modelling (URDF, MJCF, USD) and a solid understanding of robotic dynamics, kinematics, and contact physics
  • Experience developing objective metrics and statistically evaluating simulation results
  • Knowledge of structured experiment management, Python‑based toolchains, and automation of simulation tests (batch runs, sweeps, CI‑like workflows)
  • Experience with or strong interest in sim-to-real transfer methods, as well as a good understanding of real robot hardware and its limitations
  • Team spirit, a structured working style, and the ability to document and communicate technical results with precision
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