1

Computer Science Robotics Jobs in North Carolina

Robotics Tutor

Matthews, NC · Remote

$40/hr

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

Robotics Tutor

Durham, NC · Remote

$40/hr

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

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

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

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

Robotics Tutor

Charlotte, NC · Remote

$40/hr

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

Robotics Tutor

Raleigh, NC · Remote

$40/hr

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

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

Sr AI Engineer - Physical AI

Charlotte, NC

$102K - $140K/yr

This role sits at the intersection of robotics, computer vision, machine learning, and data ... Minimum Qualifications Bachelor's degree in science, technology, engineering, math, or related ...

... in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience - Bachelor's degree in computer science ...

next page

Showing results 1-20

Computer Science Robotics information

Which 5 jobs will survive AI?

For a Computer Science Robotics professional, jobs involving complex problem-solving, system design, and programming such as robotics engineer, AI software developer, systems architect, research scientist, and technical project manager are likely to persist. These roles require creativity, critical thinking, and specialized knowledge that are difficult for AI to fully replicate. Skills in programming languages like Python, C++, and knowledge of hardware integration will remain valuable in these fields.

What are the top 10 careers in robotics?

Top careers in robotics include robotics engineer, automation engineer, control systems engineer, research scientist, software developer, hardware engineer, systems integrator, robotics technician, AI specialist, and mechatronics engineer. These roles often require skills in programming, mechanical design, and knowledge of robotics frameworks like ROS. Opportunities are available across industries such as manufacturing, healthcare, aerospace, and research institutions.

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.

Is robotics a high paying career?

Robotics is generally considered a high-paying field within computer science and engineering, with salaries often exceeding the national average for technical roles. Factors such as experience, education, specialization in areas like automation or AI, and industry (e.g., manufacturing, aerospace) influence earning potential.

Can computer science work in robotics?

Yes, computer science is fundamental to robotics, as it involves programming, algorithms, and data processing to develop and control robotic systems. Computer scientists working in robotics often use languages like Python or C++, and may work with sensors, machine learning, and automation to improve robot functionality.

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.
What cities in North Carolina are hiring for Computer Science Robotics jobs? Cities in North Carolina with the most Computer Science Robotics job openings:

Field Application Engineer - Temporary - Part time - Charlotte, NC

FieldAI

Charlotte, NC • On-site

$20 - $25/hr

Part-time

Posted 15 days ago


Job description

Job Title: Field Application Engineer
Location: Charlotte, NC, US
Work type: Temporary - Part time 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
$20 - $25 an hour
About the Job
 
We are looking for a proactive and tech-savvy Field Application Engineer to support the deployment, testing, and client-facing operations of our cutting-edge robotic systems-including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in both technical and operational environments.
 
You will be based out of our Charlotte, NC site. 
 
What You'll Get To Do:
 
     Deploy and operate robotic systems in the field, support testing and data collection.
     Supervise remote operations and assist during client presentations and demos.
     Facilitate smooth, clear communication between engineers and non-technical stakeholders.
     Document technical issues, test results, and client feedback in detail.
     Troubleshoot hardware and software issues and contribute to continuous workflow improvement.
     Collaborate with cross-functional teams to iterate on system performance and usability.
 
What You Have:
 
     Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related technical field.
     Strong communication skills-able to translate complex technical topics for various audiences.
     Willingness to travel frequently across the country.
     Excellent organizational skills and the ability to work well in team-based environments.
 
 
The Extras That Set You Apart:
 
     Hands-on experience with robotics hardware (drones, quadrupeds, humanoids, or similar).
     Familiarity with basic electronics, sensors, and robotic subsystems.
     Basic coding/scripting skills (Python, C++, or similar).
     Prior experience in field testing, remote operations, or client-facing tech roles is a plus.
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a contract fully onsite role, and candidates will be expected to work in Charlotte, NC. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job