Research Engineering Intern
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Job Location:
Saline, MI - USA
Hourly Salary:
USD 27 - 32
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 apaid internship opportunity offering valuable hands-on experience andeligibility 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 Youll Do:
What Youll Get:
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 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 were always looking for smart folks who like new challenges learning new skills and technical variety.
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 apaid internship opportunity offering valuable hands-on experience andeligibility 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 Youll 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
- Current enrollment as a junior senior or graduate student in Mechanical Robotics or Electrical Engineering (or a related field)
- Currentenrollmentin adegree-seeking program maintainingstudent 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
- 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
What Youll 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
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 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 were always looking for smart folks who like new challenges learning new skills and technical variety.
Required Experience:
Intern
Key Skills
- Robotics
- Machine Learning
- Python
- AI
- C/C++
- Data Collection
- Research Experience
- Signal Processing
- Natural Language Processing
- Computer Vision
- Deep Learning
- Tensorflow
About Company
Enhancing the capability, robustness, safety, and acceptance of intelligent vehicles and mobile robotics as a subsidiary of Ford Autonomous Vehicles, LLC.
