DevOps Intern

Role Summary:

Quantum Signal AI is looking for a DevOps Intern during summer 2026 to help us improve our CI/CD pipeline. This is a paid internship opportunity, offering valuable hands-on experience and eligibility for academic credit. Day to day, you’ll work with IT and software development teams to accelerate our automated build, test, and release processes. No two software projects are alike, and you’ll contribute to improving software quality and efficiency across our dynamic project portfolio. We like lifelong learners with a bias for action and genuine interest in technical problem solving. Great candidates will have experience with - or great interest in - a discipline combining CI/CD, virtualization, networking and embedded software development.

Location:

We are located in Saline, Michigan. This position is in-person to encourage a culture of collaboration and mentorship.

What You’ll Do:

• Develop, extend, test, and document CI/CD jobs and reusable templates to support a wide range of software R&D projects, technology stacks, and operating systems
• Support administration of CI/CD hardware, software, and virtualization infrastructure
• Enhance our CI/CD tooling with monitoring, alert notification, and recipes for varied testing approaches (e.g., unit, distributed, regression, and soak)
• Collaborate with software development teams in bringing CI/CD projects into compliance with QSAI best practices and standards for CI/CD

What You’ll Bring:

• Current enrollment in an undergraduate Computer Science, Computer Engineering, Information Systems, or related program
• Current enrollment in a degree-seeking program, maintaining student status for the entire duration of the internship, including the academic term immediately following the internship
• Strong Linux and basic systems administration skills
• Proficiency with revision control systems (Git/SVN), Bash scripting, and basic networking
• Familiarity with Jenkins, ant, Python, and VMWare/Proxmox
• Ability to lift objects of various shapes, sizes, and weights (up to 30 lbs.)
• Safely walk and stand for extended periods of time, reach (including above your head), bend, climb, push, pull, twist, squat and kneel as necessary

Bonus Points For:

• Good understanding of PC hardware and troubleshooting
• Previous work, school, or hobby experience with CI/CD systems and virtualization
• Having created your own home lab setup (for any purpose)

You may not check every box, or your experience may look a little different from what we've outlined, but if you are excited about this role and think you can bring value to Quantum Signal AI, we encourage you to apply!

What You’ll Get:

• Frequent collaboration with a diverse set of teams at QSAI
• A rare level of work variety and hands-on experience
• A relaxed, fun community and environment in which to solve interesting problems 
• Opportunity to participate in a 401(k) savings plan
• Ford AXZ-Plan vehicle discounts
• Other perks to fuel creativity such as an on-site gymnasium, free drinks and snacks, and a variety of optional team activities 

Candidates for positions with Quantum Signal AI must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Visa sponsorship is not available for this position.

About QSAI:

Founded in 1999, Quantum Signal grew up developing intelligent algorithms and AI. As our engineering R&D services expanded, we later sharpened our focus on applications and technology related to mobility, sensing, perception, autonomy, and simulation. In 2019 we became Quantum Signal AI, a subsidiary of Ford Motor developing technologies to advance their R&D efforts. We build solutions to enhance the capability, robustness, safety, and acceptance of intelligent ground vehicles in an effort to make transportation more effective and efficient for all.

Our HQ in the historic Union School in Saline, MI is the perfect playground to develop this cutting-edge technology and we’re always looking for smart folks who like new challenges, learning new skills, and technical variety.