Research Engineering Intern

Role Summary:

Quantum Signal AI is looking for a Research Engineering Intern to join us for the summer of 2026 to work on a variety of projects, ranging from vehicle network communications and physics-based modeling to data analysis, simulation, and testing for advanced vehicle technologies. This is a paid internship opportunity, offering valuable hands-on experience and eligibility for academic credit. Day to day, you will apply core engineering principles, hone software development skills, and broaden your knowledge in whatever ways our diverse cross-disciplinary project portfolio may require. We are always on the lookout for lifelong learners who embrace project-based workloads, favor breadth over depth when it comes to assignments, and thrive both individually and in highly collaborative team settings.

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, model, simulate, review, and characterize combined hardware-software systems to improve fidelity and operation of automotive technologies
• Write custom software and leverage/integrate existing tools to solve problems in system modeling, vehicle motion, controls, and numerical methods
• Support planning, execution, and analysis of data-collection exercises and test events
• Produce high-quality documentation and present designs, analyses, results, and status updates to a variety of stakeholders
• Collaborate with mechatronics, software, and other research engineers as a member of various project-focused, cross-functional engineering teams

What You’ll Bring:

• Current enrollment as a junior, senior, or graduate student in Mechanical, Robotics, or Electrical Engineering (or a related field)
• 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
• Excellent software development skills gained through industry experience, coursework, or extra-curricular/personal projects
• Proficiency in MATLAB/Python and experience using Simulink
• Familiarity with mathematical modeling, numerical analysis, simulation, and data visualization
• Strong grasp of engineering fundamentals, linear algebra and calculus, and a desire to learn about new technologies and frameworks

Bonus Points For:

• Demonstrated ability to identify, diagnose, and troubleshoot technical problems, pursuing pragmatic and creative solutions that support the wider project requirements
• Previous non-academic internship or work experience
• Experience working in a multi-disciplinary team and presenting your work to an audience with varied backgrounds
• Understanding of automotive systems, subsystems, and components

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.