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Robotics Application Engineer Jobs in Michigan (NOW HIRING)

... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... Create, modify, and implement the software packages to a practical application. Develop evaluation ...

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Work collaboratively under general supervision with design engineers, operation engineers ... Familiarity with robotic controls and single/multi-axis linear actuated robotic transfer systems.

Our Applications Engineering team designs augmented reality solutions for a wide variety of ... PLCs, robots, smart tools, cameras, cables, pneumatics, gauges, and networking equipment.

Robot cell programming utilizing ZEISS Inspect Pro software. * Provide customer confidence through ... using ZEISS application software; setup and staging of parts; accuracy and repeatability ...

Robot cell programming utilizing ZEISS Inspect Pro software. * Provide customer confidence through ... using ZEISS application software; setup and staging of parts; accuracy and repeatability ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

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Robotics Application Engineer information

See Michigan salary details

$44K

$96.5K

$132.5K

How much do robotics application engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for robotics application engineer in Michigan is $96,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $117,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a robotics application engineer, and why are they important?

To thrive as a Robotics Application Engineer, you need a solid background in mechanical or electrical engineering, programming (such as Python or C++), and automation principles, often supported by a relevant degree. Familiarity with robotics platforms (like FANUC, ABB, or KUKA), CAD software, and PLC programming, as well as certifications in robotics or automation, are commonly required. Strong problem-solving abilities, effective communication, and teamwork are crucial soft skills for collaborating with multidisciplinary teams and clients. These skills ensure the successful design, implementation, and support of robotic solutions tailored to complex industrial needs.

What is the difference between Robotics Application Engineer vs Robotics Software Engineer?

AspectRobotics Application EngineerRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's or Master's in Computer Science, Robotics, or Software Engineering; programming certifications
Work EnvironmentHands-on with hardware, field testing, client sitesSoftware development, coding, simulation, testing in labs or offices
Employer & Industry UsageManufacturing, automation companies, robotics integratorsTech firms, research labs, automation software providers
Common Search & ComparisonOften compared for hardware vs software focus in robotics

The Robotics Application Engineer primarily focuses on integrating and testing robotic systems in real-world environments, working closely with hardware and clients. In contrast, the Robotics Software Engineer concentrates on developing and coding the software that powers robotic systems. Both roles require technical skills but differ in their focus on hardware versus software development.

What are some typical challenges a robotics application engineer faces when integrating robots into existing manufacturing processes?

A Robotics Application Engineer often encounters challenges such as ensuring compatibility between new robotic systems and legacy equipment, customizing solutions to meet unique production requirements, and minimizing downtime during installation and testing. Effective communication with cross-functional teams—including production, maintenance, and IT—is vital to address unforeseen technical issues and to ensure seamless integration. Additionally, balancing project timelines with safety and quality standards requires strong project management and problem-solving skills.

What does a robotics application engineer do?

A Robotics Application Engineer is responsible for designing, developing, and implementing robotic systems to automate manufacturing or business processes. They work closely with clients to understand their automation needs, select appropriate hardware and software, and integrate robotics solutions into existing workflows. Their role often includes programming robots, troubleshooting issues, providing technical support, and training end-users. Robotics Application Engineers play a crucial part in improving efficiency, safety, and productivity in industries ranging from automotive to electronics and logistics.
What are popular job titles related to Robotics Application Engineer jobs in Michigan? For Robotics Application Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Robotics Application Engineer jobs? Cities in Michigan with the most Robotics Application Engineer job openings:
Infographic showing various Robotics Application Engineer job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $96,484 per year, or $46.4 per hour.

Robotics AI Algorithm- R&D Summer 2026

Magna

Troy, MI • On-site

Full-time

Re-posted 21 hours ago


Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

POSITION OVERVIEW
This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D
department. The Advanced Robotics team is focused on developing novel technologies that give robots
human-like capabilities in perception and dexterity. The candidate will design, develop and evaluate Task and
Motion Planning algorithms for Articulated Manipulator Robots. The candidate will get a chance to work under
the guidance of a Robotics Software Technical Specialist. Magna's Student Program provides students the
opportunity to gain practical work experience in their area of study related to the automotive industry.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for
our Robotic Manipulation application (such as Deep Learning, Reinforcement learning, Transformers,
Natural Language Processing (NLP), Diffusion models, Gen-AI).
Create representative case study to understand solution capabilities and limitations.
Create, modify, and implement the software packages to a practical application.
Develop evaluation criteria to test and evaluate the effectiveness of the systems.
Present technical results and provide recommendations based on the case study.
QUALIFICATIONS:
Comfortable developing, debugging, training, and testing models in deep learning frameworks
Prior experience in implementing Gen-AI, Transformers, Diffusion model-based solutions for Robotics
application are strongly preferred.
Strong knowledge of ML, DL theory.
Strong understanding of state-of-the-art AI techniques.
Prior Experience with researching and implementing new Deep Learning architectures.
Prior experience with model training and inference.
Candidates with a good research record with publications are preferred.
Excellent coding abilities in Python, PyTorch/TensorFlow.
Good understanding of Robotics fundamentals.
Curious, Team Player and ability to thrive in collaborative, small team environment.
EDUCATION / EXPERIENCE
Current Graduate student preferably in a PhD program or MS program focused on
researching/implementing Artificial Intelligence, Machine Learning, Generative AI based solutions for
Robotics applications.
PHYSICAL DEMANDS / WORK ENVIRONMENT:
Normal amount of sitting or standing, average mobility to move around an office (Troy, MI)
environment, able to conduct a normal amount of work at a computer

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:
Intern (Fixed Term) (Trainee)
Group:
Magna Corporate