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Computer Science Robotics Jobs in Raleigh, NC (NOW HIRING)

Senior Data Engineer #4885

Durham, NC · On-site

$80 - $100/hr

... APIs, autonomous robotics platforms, databases and file based data sources. * Own critical ... Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

... APIs, autonomous robotics platforms, databases and file based data sources. * Own critical ... Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

... APIs, autonomous robotics platforms, databases and file based data sources. * Own critical ... Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

... APIs, autonomous robotics platforms, databases and file based data sources. * Own critical ... Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics ...

SR PROGRAMMER ANALYST

Henderson, NC · On-site

$41.50 - $56.25/hr

AS degree in computer science/Business or related field, or appropriate technical training and ... Robot and MDCMS are pluses. Any modernization work is a plus. * Retail Experience is preferred but ...

... Systems, Robotics, etc.) for some of the leading companies in the life sciences and other ... Bachelor's or Associate's Degree in Computer Science or Engineering. Other training and relevant ...

Showing results 41-60

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 Raleigh, NC?

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

What job categories do people searching Computer Science Robotics jobs in Raleigh, NC look for?

The top searched job categories for Computer Science Robotics jobs in Raleigh, NC are:

Infographic showing various Computer Science Robotics job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Scientist, Operations Investigation Team (OIT) #4936

Durham, NC • On-site

GRAIL
Biotechnology Research and Development • 1 - 5K employees

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the‑art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

The Senior Scientist is an experienced scientific individual contributor responsible for investigating platform and assay performance issues, identifying root causes, and developing technical solutions to improve platform reliability and operational performance. As a member of the Operations Investigation Team (OIT), this role independently conducts scientific investigations, collaborates across functions, and drives continuous improvement through data‑driven problem solving and process optimization.

This position works on-site full-time, 5 days/week at our office located in Durham, NC

Responsibilities:
  • Independently design, plan, and execute experiments to investigate platform performance issues and support troubleshooting efforts.
  • Analyze experimental data, identify root causes, and develop scientifically sound recommendations.
  • Develop, optimize, and troubleshoot experimental methods, workflows, and analytical tools to improve platform robustness, reliability, and efficiency.
  • Investigate sources of technical variability and recommend corrective and preventive actions.
  • Prepare technical reports, presentations, and investigation summaries to communicate findings and recommendations.
  • Collaborate with cross‑functional teams, including R&D, Operations, Engineering, Quality, Manufacturing, and Data Science, to resolve platform‑related issues.
  • Provide technical expertise in experimental design, troubleshooting strategies, and data interpretation.
  • Contribute to the development of new technologies, analytical tools, and process improvements that enhance platform performance.
  • Ensure compliance with laboratory safety, quality, and applicable regulatory standards.
  • These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
Required Qualifications:
  • Ph.D. in Molecular Biology, Biochemistry, Biotechnology, or a related scientific discipline with 2+ years of relevant experience; OR Master's degree with 5+ years of relevant experience; OR Bachelor's degree with 8+ years of relevant experience.
  • Strong expertise in molecular biology, NGS technologies, assay development, or related experimental disciplines.
  • Experience with laboratory or biotech automation platforms (e.g., liquid handlers, robotic workcells, automated sample‑processing systems) is highly desirable.
  • Proven experience independently designing and executing experiments and solving complex technical problems.
  • Demonstrated experience conducting root‑cause investigations and developing practical technical solutions.
  • Strong scientific communication and technical presentation skills.
  • Experience working in regulated laboratory environments is preferred.
Preferred Qualifications:
  • Advanced troubleshooting, analytical, and root‑cause investigation skills.
  • Strong experimental design and data interpretation capabilities.
  • Ability to manage multiple investigations and priorities in a fast‑paced environment.
  • Strong collaboration and communication skills with cross‑functional teams.
  • Innovative, self‑motivated, and results‑oriented with a continuous improvement mindset.
Physical Demands and Environment:
  • Work may be performed in laboratory and office environments with exposure to biological samples, chemicals, and laboratory equipment.
  • Requires appropriate personal protective equipment (PPE).
  • May require extended hours to support critical investigations.
  • Regular laboratory activities, including pipetting and operation of laboratory instrumentation.

The expected, full‑time, annual base pay scale for this position is $122,000 - $147,000. Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion.

Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies.

  • flexible time‑off or vacation
  • a 401(k) retirement plan with employer match
  • medical, dental, and vision coverage
  • carefully selected mindfulness programs

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug‑free workplace. We welcome job‑seekers from all backgrounds to join us!

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