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Best Paying Computer Science Jobs in Michigan (NOW HIRING)

Deloitte

Data Science Consultant

Detroit, MI

... the best predictive models * Being able to interpret the models that are being generated ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

Varsity Tutors

Computer Programming Tutor

Kalamazoo, MI · Remote

$40/hr

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

Varsity Tutors

Computer Programming Tutor

Detroit, MI · Remote

$40/hr

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

Varsity Tutors

Computer Programming Tutor

Ann Arbor, MI · Remote

$40/hr

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

... Promote best practices in model governance, data ethics, and responsible AI Qualifications ... Computer Science, or a related quantitative field (Master's preferred) Preferred : • Hands-on ...

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Best Paying Computer Science information

What are the key skills and qualifications needed to thrive in one of the best paying computer science roles, such as a Software Engineer or Data Scientist, and why are they important?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

What are some common challenges faced by professionals in high-paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What are popular job titles related to Best Paying Computer Science jobs in Michigan? For Best Paying Computer Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Best Paying Computer Science jobs in Michigan look for? The top searched job categories for Best Paying Computer Science jobs in Michigan are:
What cities in Michigan are hiring for Best Paying Computer Science jobs? Cities in Michigan with the most Best Paying Computer Science job openings:
Best Paying Computer Science jobs near you
Infographic showing various Best Paying Computer Science job openings in Michigan as of May 2026, with employment types broken down into 2% As Needed, 27% Full Time, 58% Part Time, 4% Temporary, 7% Contract, and 2% Nights. Highlights an 40% Physical, 11% Hybrid, and 49% Remote job distribution.

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI • On-site

Contractor

Posted 28 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.