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Masters In Computer Science Jobs in Michigan (NOW HIRING)

D. degree in Computer Science or Electrical Engineering Experience: Minimum of 3+ years with Masters in relevant industrial experience is required, or Ph.D. Job level is determined by various factors ...

Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field. • Prior experience at an autonomous vehicle, robotics, or hard-tech ...

Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field. • Prior experience at an autonomous vehicle, robotics, or hard-tech ...

Cyber Security manager

Lansing, MI · On-site

$112K - $152K/yr

Bachelors or Masters Degree in Computer Science, Information Systems, Business or Engineering Additional Information All your information will be kept confidential according to EEO guidelines.

Required : • 3 years of experience in a related field • 2 years of experience in management and administration • Bachelor's degree in computer science, statistics or a related field • ...

Showing results 41-60

Masters In Computer Science information

See Michigan salary details

$16.7K

$53.8K

$108.5K

How much do masters in computer science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for masters in computer science in Michigan is $53,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,687.00 and $62,350.00 per year, depending on experience, location, and employer.

What is a master's in computer science?

A Masters in Computer Science is a graduate-level degree program that provides advanced knowledge and skills in computer science. It typically covers topics such as algorithms, programming, data structures, artificial intelligence, machine learning, and software engineering. The program is designed for individuals who want to deepen their understanding of computer science, advance their careers, or prepare for doctoral studies. Most programs require students to complete coursework, projects, and sometimes a thesis or capstone project. Graduates are prepared for roles in software development, data science, research, and other technology-focused careers.

What types of roles and industries commonly hire professionals with a master's in computer science?

Professionals with a Master's in Computer Science are highly sought after in a variety of industries, including technology, finance, healthcare, government, and academia. Common roles include software engineer, data scientist, machine learning engineer, systems architect, and IT project manager. Many organizations value the advanced technical knowledge and research skills gained during the program, which can also open doors to leadership or specialized research positions. Additionally, the collaborative nature of most computer science projects means you can expect to work in cross-functional teams with engineers, analysts, and business stakeholders.

What are the key skills and qualifications needed to thrive as a computer scientist with a master's degree, and why are they important?

To thrive as a Computer Scientist with a Master’s degree, you need advanced knowledge in algorithms, programming, and software development, usually demonstrated through a relevant graduate degree. Familiarity with programming languages such as Python, Java, or C++, and proficiency in tools like Git, databases, and cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this role. These skills ensure that professionals can design innovative solutions, collaborate efficiently, and adapt to evolving technological challenges.

Is a master's in computer science worth doing?

A master's in computer science can enhance technical skills, improve job prospects, and qualify individuals for advanced roles such as software engineer, data scientist, or systems analyst. It often leads to higher salaries and increased opportunities in fields like artificial intelligence, cybersecurity, and software development, especially when combined with practical experience and certifications. However, the value depends on career goals, industry demand, and the program's quality.

Is it easier to get a computer science job with a master's in computer science?

A master's in computer science can improve job prospects for computer science roles by providing advanced technical skills, specialized knowledge, and often a competitive edge over candidates with only a bachelor's degree. However, securing a job also depends on factors like experience, certifications, and the current job market. While a master's degree can open doors to more senior or specialized positions, it does not guarantee easier employment compared to candidates with less education.

What can a master's in computer science get you?

A master's in computer science can qualify you for advanced roles such as software engineer, data scientist, or systems analyst. It often provides specialized knowledge in areas like algorithms, machine learning, and software development, increasing job opportunities and earning potential in the tech industry.

What jobs can a masters in computer science get you?

A master's in computer science can lead to roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What cities in Michigan are hiring for Masters In Computer Science jobs?

Cities in Michigan with the most Masters In Computer Science job openings:

Infographic showing various Masters In Computer Science job openings in Michigan as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $53,787 per year, or $25.9 per hour.

Robotics Engineer, Perception/Computer Vision

Warren, MI • On-site

Contractor

Re-posted 12 days ago


Job description

Position: Senior Robotics Engineer, Perception/Computer Vision

Location: Warren, Michigan

Duration: 12+Months with possible extensions

Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)

About the Role:

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role, you will develop perception features that enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization, and manipulation. This position combines artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

At ARC, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our organization provides the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring our robotic systems remain at the forefront of the industry.

Key Responsibilities:

  • Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
  • Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
  • Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
  • Develop offline tools to test and validate perception models in both simulation and real-world environments.
  • Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
  • Generate intellectual property, document results, and publish papers.

Required Qualifications:

  • Passion for robotics and a strong desire to accelerate the application of robotics with AI.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
  • 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
  • Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
  • Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.

Preferred Qualifications:

  • Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
  • Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
  • Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
  • Understanding of CI/CD pipelines and modern software development practices.