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Computer Science Robotics Jobs in Minnesota (NOW HIRING)

Hahn Group

Controls Engineer, Software

Brooklyn Park, MN

$47.25 - $60.25/hr

... Computer Science strongly preferred. Experience: Three to five years of electrical or software ... Proficiency in the use and programming of various PLC, HMI, robot, motion control, LabVIEW, and ...

Pwc

CTIO AI Engineering Manager

Minneapolis, MN · On-site

$73K - $244K/yr

... Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine learning models - Developing scalable, cloud-native ...

Pwc

NGA AI Engineer Manager

Minneapolis, MN · On-site

$73K - $244K/yr

... Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred - Demonstrating exceptional team leadership abilities - Managing client service accounts to deliver ...

Pwc

NGA AI Engineer Senior Manager

Minneapolis, MN · On-site

$91K - $321K/yr

... Computer Science, Data Processing/Analytics/ Science, Software Engineering, Artificial Intelligence and Robotics preferred - Crafting and conveying clear, impactful messages - Applying systems ...

3M

Architect - Agentic AI

Maplewood, MN · On-site

$188K - $230K/yr

Master's in computer science, applied mathematics, or engineering field or a science field ... automation or RPA in a private, public, government or military environment. Additional ...

3M

Architect - Agentic AI

Maplewood, MN · On-site

$188K - $230K/yr

Master's in computer science, applied mathematics, or engineering field or a science field ... automation or RPA in a private, public, government or military environment. Additional ...

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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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution.
Software Engineer - Embedded Systems

Software Engineer - Embedded Systems

Swoop Search

Minneapolis, MN • On-site

$130K - $190K/yr

Full-time

Posted 17 days ago

Job description

About Swoop:
Swoop Technologies has a mission to organize and make accessible the world's military and critical infrastructure. We are building a distributed operating system, SwoopOS, that decomposes the world's equipment into a distributed robotic embodiment upon which a new generation of distributed systems, autonomous systems, and agentic AI can be built and deployed using our SDK, Valhalla, and operated via our browser, Surf. Imagine the world's equipment - consisting of the electrical grid, communications architectures, manufacturing facilities, and militaries as a trapped supply of inputs possessing the potential to ensure Western military advantage, sovereign control of economically competitive manufacturing capacity, or the creation of a grid that fosters energy dominance. Swoop is liberating these trapped assets, allowing them to contribute to the world's future as a series of building blocks to be combined at the speed of software, limited by only the hard constraints of physics and the soft constraints of safety. That is what Swoop is building. Not in the data center or cloud or edge on-premise computing node. In the physical world.
Impact:
Joining our Edge Team means you will get to work on building an operating system. Not an abstraction, virtualization, or data layer. A legitimate distributed operating system. This OS has to work across heterogeneous instruction sets, support a new generation of distributed system abstractions, treat security as a first principle, and work at the scale of power grids and entire militaries. You will influence the intersection of artificial intelligence, robotics, and the physical world - building a compute model the OS schedules and executes across the most geopolitically relevant problem sets. It is a bad-ass problem where every member of the team contributes tangibly on a daily basis. Come join us in either our Minneapolis or Washington, DC offices.
Responsibilities:
  • Develop and maintain embedded system firmware including low-level drivers, bootloaders, and other OS-critical functions to enable reliable OS initialization and hardware interaction.
  • Contribute to OS integration and kernel-level modules, ensuring efficient communication between hardware abstraction layers and higher-level system software.
  • Design and implement application-layer features and system services that leverage firmware interfaces, optimizing for performance, resource use, and robustness.
  • Collaborate cross-functionally with other engineering teams to debug complex issues spanning firmware, operating system, and application boundaries.
  • Collaborate closely with the deployment engineering team, solving technical challenges for various customer requirements

You Should Have:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related technical field, or equivalent technical experience
  • 4+ years of experience in one or more of the following: Operating System/Kernel development, RTOS, Embedded Systems/Firmware design, Microkernel development, Bare Metal development
  • Software development experience in C and Rust
  • Understanding of low level hardware systems
  • Travel Requirement - 5-20%
  • Active US Security clearance or ability and willingness to be sponsored for a US Security clearance

Bonus if you have:
  • Knowledge of one or more of the following: Microcontrollers, SoC, device drivers, hardware bring-up, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, FPGAs or hardware/software integration
  • Understanding of clocks and timing as it pertains to processor instructions
  • Familiarity with serial protocols such as I2C, SPI, UART, USB
  • Demonstrated knowledge of systems engineering and distributed systems

Swoop Technologies is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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