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Computer Science Robotics Jobs in Minnesota (NOW HIRING)

Worky

Data and Software Programmer

Virginia, MN · On-site

$90 - $140/hr

Bachelor's degree in software design, computer science, data science * Demonstrated ability to work ... robotics. At ARA, employees are our greatest assets. The corporation realizes that employee ...

New

Socket.dev

Manufacturing Test Software Engineer

Edina, MN · On-site

$110 - $140/hr

Bachelorof Science in Computer Science, Computer Engineering, Electrical Engineering,or equivalent ... Experiencewith robotics or autonomous systems. * Experiencewith microcontroller firmware ...

New

Pohlad Companies

Advanced Controls Engineer

Shoreview, MN · On-site

$85K - $105K/yr

... control, robotics, PLC/PC programming, and/or vision applications to accomplish customer ... Science or Computer Engineering * Ability to support a variety of project tasks including but not ...

3M Company

Automated Inspection Engineer

Maplewood, MN · On-site

$88K - $113K/yr

Advanced technical expertise equivalent to a master's degree or higher in Electrical Engineering, Mechanical Engineering, Computer Science, Physics, Optical Engineering, Robotics, or a related ...

Actalent

Mechanical Engineer

Hopkins, MN

... robotic products. Responsibilities * Design and develop mechanical and electro-mechanical ... Use CAD tools, with a strong emphasis on SolidWorks, to create 3D models, assemblies, and detailed ...

3M

Automated Inspection Engineer

Maplewood, MN · On-site

$88K - $113K/yr

Advanced technical expertise equivalent to a master's degree or higher in Electrical Engineering, Mechanical Engineering, Computer Science, Physics, Optical Engineering, Robotics, or a related ...

3M

Automated Inspection Engineer

Maplewood, MN

Advanced technical expertise equivalent to a master's degree or higher in Electrical Engineering, Mechanical Engineering, Computer Science, Physics, Optical Engineering, Robotics, or a related ...

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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 Minnesota?

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

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

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

Computer Science Robotics jobs near you
Infographic showing various Computer Science Robotics job openings in Minnesota as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 100% In-person job distribution.

Data Analyst with Capital Market

PSRTEK LLC

Saint Paul, MN • On-site

Full-time

Re-posted 24 days ago

Job description

Job Description

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing reports, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Generate reconciliation reports that compare source systems

Requirements

  • Proven working experience as a data analyst or business  Data analyst
  • Experience working in Data initiatives using new-age Data & analytics paradigms and concepts E.G. Big-Data Analytics,Data Lake/Hub,Data Virtualization,Master Dtaa mgmt,AI/ML/RPA
  • Solid exposure/experience working in cloud Data environments (leading cloud providers like Amazon~AWS,Azure,GCP)
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages, databases (SQL etc), programming (XML, Javascript, Python)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (R,Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS/MS in Mathematics, Economics, Computer Science, Information Management or Statistics
Additional Information

All your information will be kept confidential according to EEO guidelines.

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