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Internship Robotics Control Jobs in Michigan (NOW HIRING)

... interns and co‑ops on best practices, training, and overall workload, and delivers "lunch-and ... with motion control (VFDs, servos, auxiliary robot axes). - Able to validate hard-wired and ...

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Senior Autonomy Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

Experience with version control (e.g., Git) and an understanding of testing and CI/CD basics ... Exposure to real-time, robotics, or autonomy software, or to inference/runtime performance work.

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

... robots-but applied to autonomous, short-interval control of mineral refining circuits. Models ... Desired Qualifications * 0-4 years of experience (including internships or research) in machine ...

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Internship Robotics Control information

What are the key skills and qualifications needed to thrive as an Internship Robotics Control, and why are they important?

To thrive in an Internship Robotics Control position, you generally need a background in engineering or computer science and foundational knowledge of robotics, control systems, and programming languages such as Python or C++. Familiarity with tools and environments like ROS (Robot Operating System), MATLAB/Simulink, and microcontroller platforms is typically required. Strong problem-solving skills, eagerness to learn, and effective teamwork set exceptional interns apart in this field. These skills and qualities are crucial for successfully contributing to robotics projects, adapting to new technologies, and collaborating on innovative solutions.

What types of projects and responsibilities can I expect during an Internship in Robotics Control?

As an intern in Robotics Control, you will typically work on projects involving the programming, testing, and optimization of robotic systems. Responsibilities often include assisting with algorithm development, calibrating sensors and actuators, and supporting troubleshooting efforts for hardware and software issues. You may collaborate closely with engineers, research scientists, and other interns, contributing to real-time control experiments, data analysis, and documentation tasks. This hands-on experience provides valuable exposure to the robotics workflow and offers opportunities to develop both technical and teamwork skills in a collaborative environment.

What are Internship Robotics Control positions?

Internship Robotics Control positions are entry-level opportunities for students or recent graduates to gain hands-on experience working with robotic systems, focusing on programming, designing, and testing control algorithms. These internships typically involve collaborating with experienced engineers to develop software or hardware that helps control the movement and operation of robots. They offer practical exposure to fields like automation, artificial intelligence, and mechatronics. Interns may work on real-world projects, use tools like ROS (Robot Operating System), and learn to optimize robot performance in various environments.

What is the difference between Internship Robotics Control vs Robotics Technician?

AspectInternship Robotics ControlRobotics Technician
CredentialsTypically pursuing or recent graduate of engineering or robotics programsAssociate's or bachelor's degree in robotics, electronics, or related fields
Work EnvironmentEducational settings, labs, or entry-level industry projectsManufacturing facilities, research labs, or industrial settings
Job FocusLearning, assisting, and gaining experience in robotics control systemsMaintaining, troubleshooting, and operating robotic systems
Industry UsageInternship programs, training, and entry-level rolesFull-time technical roles in robotics and automation

In summary, Internship Robotics Control is an entry-level, learning-focused position aimed at students or recent graduates gaining experience in robotics control systems. Robotics Technicians are more experienced professionals responsible for maintaining and troubleshooting robotic equipment in industrial or research environments.

What are popular job titles related to Internship Robotics Control jobs in Michigan? For Internship Robotics Control jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Internship Robotics Control jobs? Cities in Michigan with the most Internship Robotics Control job openings:
Infographic showing various Internship Robotics Control job openings in Michigan as of June 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Advanced Engineering & Research Intern

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI • On-site

$20 - $34/hr

Other

Posted 9 days ago


Job description

Isuzu Technical Center of America is seeking an Advanced Engineering & Research Intern to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.
JOB SUMMARY
Supports advanced engineering and research for Level 4 autonomous driving by developing, evaluating, and applying multimodal AI models - including vision-language models (VLMs), vision-language-action models (VLAs), large language models (LLMs), and world models - for data triage, autonomous driving system development, simulation, and verification and validation (V&V). Works closely with Isuzu U.S. and Japan teams, well known autonomous driving partners, and research institutes to build AI-assisted workflows for mining on-road data, identifying edge cases, generating and curating scenarios, analyzing perception/prediction/planning behavior, and improving simulation-based safety evaluation. Works at the intersection of vehicle engineering, robotics, machine learning, data engineering, and safety assurance. Performs tasks of increasing complexity throughout the internship.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Researches, prototypes, and evaluates VLM, VLA, LLM, and world model approaches for automated data triage, semantic scene understanding, edge-case discovery, and autonomous vehicle safety analysis.
20%
2.
Analyzes multimodal on-road and simulation data (camera, LiDAR, radar, GPS/IMU, CAN, and system logs) to identify safety trends, model failure modes, and data-quality gaps.
20%
3.
Supports scenario mining, generation, and simulation V&V workflows to test autonomous driving perception, prediction, planning, and control behavior.
20%
4.
Collaborates with engineers to integrate AI model outputs into autonomous driving development tools, metrics, dashboards, and simulation pipelines.
10%
5.
Prepares and communicates technical findings, experiment results, and recommended next steps to teams across the U.S. and Japan.
6.
Performs miscellaneous job-related duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING
  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, Artificial Intelligence/Machine Learning, or a related field
  • Academic focus or coursework in autonomous systems, ML/DL/RL, VLMs, VLAs, LLMs, generative AI, world models, computer vision, sensor fusion, vehicle dynamics, simulation, or V&V is preferred
  • Prior internship, research, or project experience with multimodal data, LLM/VLM evaluation, simulation, autonomous driving/robotics, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended, 3.5+ preferred)

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, ML/DL/RL, model evaluation, and data curation for large-scale multimodal datasets
  • Basic knowledge of autonomous driving architecture, vehicle sensors, data logs, scenario-based testing, simulation V&V, and vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical, research, and problem-solving skills
  • Proficiency in Python; familiarity with C++, Linux, Git, SQL, or data pipeline tools
  • Familiarity with ML and simulation tools (e.g., PyTorch, Hugging Face, OpenCV, ROS/ROS 2, CARLA, Simulink, or equivalent) is a plus
  • Ability to evaluate and document AI model behavior, limitations, safety implications, and V&V results
  • Effective communication; ability to work independently and collaboratively across U.S. and Japan teams

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.
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