1

Masters Computer Science Jobs in Ann Arbor, MI (NOW HIRING)

D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Experience: Minimum of 5+ years with Masters and 1+ years with Ph.D. or relevant industrial experience ...

D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Experience: Minimum of 5+ years with Masters and 1+ years with Ph.D. or relevant industrial experience ...

Embedded Software Engineer

Farmington Hills, MI · On-site

$129K - $170K/yr

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 ...

Embedded Software Engineer

Farmington Hills, MI · On-site

$129K - $170K/yr

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 ...

Software Engineer

Ypsilanti, MI · On-site

$86K - $181K/yr

... masters. Qualifications: Required: * US citizenship with the ability to obtain and maintain a TS/SCI security clearance. * Bachelor's degree or higher in Computer Science or closely related STEM ...

Showing results 21-40

Masters Computer Science information

See Ann Arbor, MI salary details

$18K

$64.9K

$138K

How much do masters computer science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for masters computer science in Ann Arbor, MI is $64,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,349.00 and $89,128.00 per year, depending on experience, location, and employer.

What is a masters computer science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

What types of projects or responsibilities can I expect when starting a position with a master's degree in computer science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the masters computer science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

What are the most commonly searched types of Masters Computer Science jobs in Ann Arbor, MI?

The most popular types of Masters Computer Science jobs in Ann Arbor, MI are:

What are popular job titles related to Masters Computer Science jobs in Ann Arbor, MI?

For Masters Computer Science jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Masters Computer Science jobs in Ann Arbor, MI look for?

The top searched job categories for Masters Computer Science jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Masters Computer Science jobs?

Cities near Ann Arbor, MI with the most Masters Computer Science job openings:

Infographic showing various Masters Computer Science job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 2% Internship, 70% Full Time, 15% Part Time, 3% Temporary, and 10% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $64,862 per year, or $31.2 per hour.

Senior Autonomy Release Engineer II

May Mobility

Ann Arbor, MI • On-site

Full-time

Re-posted 18 days ago


Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. As a Senior Autonomous Release Engineer, you will lead the solution of challenging and complex problems facing vehicle autonomy, ensuring that software is safe, well-understood, and performs reliably in real-world conditions.
Responsibilities:
• Release ownership and release execution end-to-end across:
• Major autonomy releases
• Incremental/performance releases
• Hotfix/safety patches
• Manage branching strategy, versioning, and release cut processes
• Drive release readiness and go/no-go decisions
• Partner cross-functionally with Autonomy, Infra, Validation, and Fleet Ops
• Act as a system owner for release readiness
• Investigate and resolve complex issues arising from:
• Software/hardware interactions
• Distributed systems behavior
• On-vehicle vs simulation discrepancies
• Develop deep understanding of:
• Sensor stack, middleware, autonomy stack
• Compute platforms, networking, configurations
• Be the go-to for:
• “Why does this fail in the real world?”
• “What changed between releases?”
• Enforce stage-gated release framework:
• Feature Complete → Code Freeze → Validation → Release Candidate
• Integrate validation signals:
• Simulation corpus results
• Regression testing
• Vehicle testing (HIL / on-road)
• Ensure safety-critical issues are identified, tracked, and gated
• Take initiative to find and permanently solve challenging system level issues caused by the interplay between different software and hardware components.
• Collaborate and lead system-wide improvements when working with other teams without having direct ownership or management responsibility.
• Assess and develop approaches that scale and improve performance in a variety of ways (e.g. CPU performance, memory usage, disk usage, network usage).
• Assess and improve system robustness to systematic stochastic and transient issues that impact autonomous vehicle performance.
• Support other autonomy engineers in designing and integrating their components with the full May system.
Qualifications:
Required:
• 7+ years in autonomous systems, release engineering, and DevOps
• Strong Python and scripting skills
• Working knowledge or familiarity with C/C++
• Experience working across full product lifecycle
• Proven ability to debug complex system-level issues
• Strong communication skills across technical domains
Preferred:
• 10+ years of experience in autonomous robotic systems, DevOps and release engineering
• Experience with autonomous cars, trucks, or similar vehicles.
• A masters or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field.
• Previous experience in a startup or high performance research and development group with an emphasis on delivery
• Experience with AV or robotics systems
• Familiarity with: Simulation frameworks, HIL / vehicle testing, Safety-critical systems (ISO 26262, SOTIF)
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.