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Robotics Ai Manager Jobs (NOW HIRING)

... Gen-AI, Transformers, Diffusion model-based solutions for Robotics application are strongly ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

... Gen-AI, Transformers, Diffusion model-based solutions for Robotics application are strongly ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

... Robotics & AI Software team. In this role, you will have the opportunity to work closely with ... Ability to work effectively with cross-functional teams, including product managers & owners ...

Channel Manager, East Coast (Sales) Location: East Coast, United States (Remote with Travel) At ... programmed using AI. Our platform enables robots to reason, adapt, and execute complex ...

Hands-on exposure to AI, automation, or data tools (e.g., Power Platform, analytics tools, RPA, or ... Excellent stakeholder management skills with the ability to influence across a global, matrixed ...

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Robotics Ai Manager information

What is a Robotics AI Manager?

A Robotics AI Manager is a professional who oversees the development, implementation, and management of artificial intelligence (AI) systems within robotics projects. They coordinate teams of engineers, data scientists, and developers to design intelligent robots that can perform tasks autonomously or with minimal human intervention. Their responsibilities include project management, strategic planning, and ensuring that AI technologies are effectively integrated into robotic systems to meet organizational goals.

What are the key skills and qualifications needed to thrive as a Robotics AI Manager?

To thrive as a Robotics AI Manager, you need a blend of expertise in robotics, machine learning, and project management, often supported by a degree in computer science, engineering, or a related field. Familiarity with programming languages (such as Python or C++), robotics platforms (like ROS), and AI frameworks (such as TensorFlow or PyTorch) is typically required, along with experience in managing cross-functional teams. Strong leadership, strategic thinking, and excellent communication skills help distinguish top performers in this role. These competencies ensure effective project delivery, innovation, and the successful integration of AI-driven robotics solutions in complex environments.

What is the difference between Robotics Ai Manager vs Robotics Engineer?

AspectRobotics Ai ManagerRobotics Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience in AI project managementBachelor's or higher in Robotics, Mechanical, Electrical Engineering, or related fields
Work EnvironmentLeads teams, manages AI projects, collaborates with cross-functional teamsDesigns, develops, tests robotic systems and components
Employer & Industry UsageTech companies, manufacturing, research labsRobotics firms, automation companies, research institutions
Common Search & ComparisonOften compared for leadership roles in robotics AI projectsFocuses on technical development and engineering tasks

The Robotics Ai Manager oversees AI-driven robotics projects, managing teams and strategy, while Robotics Engineers focus on designing and building robotic systems. Both roles require technical knowledge, but the manager emphasizes leadership and project management, whereas engineers concentrate on technical development.

What are the main challenges Robotics AI Managers face when leading multidisciplinary teams?

Robotics AI Managers often lead teams composed of software engineers, mechanical engineers, data scientists, and robotics specialists. One common challenge is ensuring effective communication and collaboration across these diverse disciplines, each with its own jargon and methodologies. Balancing project timelines while integrating hardware and AI-driven software components can also be complex. Successful managers foster a culture of open communication, establish clear project milestones, and encourage cross-functional knowledge sharing to overcome these hurdles.
What cities are hiring for Robotics Ai Manager jobs? Cities with the most Robotics Ai Manager job openings:
What are the most commonly searched types of Robotics Ai jobs? The most popular types of Robotics Ai jobs are:
What states have the most Robotics Ai Manager jobs? States with the most job openings for Robotics Ai Manager jobs include:
Infographic showing various Robotics Ai Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Robotics AI Algorithm- R&D Summer 2026

Magna

Troy, MI • On-site

Full-time

Re-posted 5 days 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