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Manager Nvidia Robotics Jobs in Michigan (NOW HIRING)

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Manager Nvidia Robotics information

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

AspectManager Nvidia RoboticsRobotics Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, develop, test robotic systems
Industry UsageOversees robotics projects in tech and manufacturingBuilds and codes robotic systems in R&D labs

The Manager Nvidia Robotics typically oversees robotics projects, requiring leadership and management skills, while Robotics Engineers focus on designing and developing robotic systems. Both roles are integral in the robotics industry but differ in responsibilities and daily tasks.

What are the typical challenges faced by a Manager in Nvidia Robotics, and how can new hires prepare for them?

Managers in Nvidia Robotics often encounter challenges related to overseeing multidisciplinary teams, integrating cutting-edge AI and hardware solutions, and managing fast-paced project cycles. New hires can prepare by developing strong project management skills, staying current with robotics and AI advancements, and fostering effective communication between hardware, software, and research teams. Being adaptable and proactive in problem-solving is crucial, as the field rapidly evolves and projects may shift priorities based on technological breakthroughs or business needs.

What are the key skills and qualifications needed to thrive as a Manager Nvidia Robotics, and why are they important?

To thrive as a Manager Nvidia Robotics, you need a solid background in robotics, computer science or engineering, combined with proven leadership experience and a relevant degree. Familiarity with NVIDIA’s robotics platforms (such as Isaac SDK), AI frameworks, and project management tools is typically required, along with certifications in project management or engineering disciplines. Strong communication, problem-solving, and team leadership skills help drive cross-functional collaboration and innovation. These capabilities are crucial for successfully guiding technical teams, delivering complex robotics solutions, and maintaining a competitive edge in a fast-evolving industry.

What does a Manager of Nvidia Robotics do?

A Manager of Nvidia Robotics leads teams that develop, implement, and optimize robotics solutions using Nvidia's AI and GPU technologies. They oversee projects related to robotics hardware, software, and systems integration, ensuring products meet technical and business requirements. This role involves collaborating with engineers, researchers, and product managers to drive innovation and maintain project timelines. Additionally, the manager acts as a bridge between technical teams and upper management, helping to set strategic goals and allocate resources effectively.
What are the most commonly searched types of Nvidia Robotics jobs in Michigan? The most popular types of Nvidia Robotics jobs in Michigan are:
What are popular job titles related to Manager Nvidia Robotics jobs in Michigan? For Manager Nvidia Robotics jobs in Michigan, the most frequently searched job titles are:
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Sr. Vision Applications Engineer

Sr. Vision Applications Engineer

General Motors

Warren, MI • On-site

Full-time

Posted 7 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences designed not just to be seen, but to be felt. From breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features, we're turning today's impossible into tomorrow's standard.

Every day, our products move millions of people as we work to make driving safer, smarter, and more connected on a global scale.

The Role

The Vision Applications Engineer is responsible for developing, maintaining, and supporting global machine vision applications, scanning technologies, and standards. This role requires deep expertise in current vision systems, awareness of emerging imaging trends including AI, and hands-on ability to solve complex vision system challenges. The position also plays a key role in leading and maintaining global machine vision standards across manufacturing.

What You'll Do
  • Support vision applications across manufacturing centers and execution teams

  • Review manufacturing system requirements and design robust vision applications

  • Create and document scalable vision applications for error proofing, robot guidance, and part quality

  • Partner with manufacturing engineering teams and regional execution teams to gather requirements and improve solutions

  • Interface with vision equipment and integration suppliers

  • Develop vision system hardware and software designs, including devices, power distribution, I/O networks, software, and cost estimating tools

  • Ensure designs comply with GCCH, GCCS, and Global Robot Standards

  • Supervise contractor detailed designs when needed

  • Specify vision system components, functional requirements, and integration methods

  • Evaluate and validate new vision technologies for manufacturing use

  • Provide on-site and remote support for startup, troubleshooting, reprogramming, diagnostics, and plant vision issues

  • Develop training and documentation for global deployment of standard vision systems

  • Educate regional execution teams on standard vision applications

  • Partner with execution teams and vision SMEs to strengthen GM's competitive advantage in vision and imaging systems

  • Investigate industry trends in vision AI and emerging technologies

  • Ensure cyber security requirements are included in vision system components

  • Develop vision applications to support virtual manufacturing

  • Support R&D and IT teams in developing custom GM applications

  • Work with suppliers to identify cost reduction opportunities

  • Coordinate and support manufacturing lab initiatives, proof of concepts, and pilot deployments in labs and plant facilities

  • Provide status updates to management

  • Mentor students and new hires

  • Drive systemic issues, lessons learned, and closure actions to completion

  • Occasional travel is required within North America and globally to OEM and plant sites

Required Qualifications
  • Bachelor's degree in Engineering or a related field

  • Extensive technical knowledge in machine vision

  • Strong technical knowledge of robotics, AI, and automation processing

  • Extensive experience with Zebra (Matrox), Keyence, Photoneo, or related vision technologies

  • Experience developing and integrating vision applications

  • Ability to troubleshoot complex vision-related issues

  • Strong analytical, problem-solving, communication, and interpersonal skills

  • Ability to manage multiple complex assignments with a high level of autonomy and accountability

  • Ability to provide technical direction, mentoring, and project leadership

  • Self-motivated with the ability to multitask and drive continuous improvement

  • Demonstrated initiative and strong individual technical contributions

  • Proven project management skills and ability to teach others

Preferred Qualifications
  • AIA Certified Vision Professional (Basic or Advanced)

  • Experience with additional vision technologies and suppliers

  • 2-3 years of plant assignment experience

  • 10+ years of experience in the design, build, and startup of manufacturing systems

  • Knowledge of artificial intelligence and machine learning

  • Experience with manufacturing and industrial automation including material-handling systems, AMRs, cobots, and virtual commissioning

  • Understanding of plant floor operations and product design manufacturability

  • Global project experience across regions

  • Programming knowledge in C++ and Python

  • Experience with ROS/ROS2

  • Familiarity with NVIDIA Isaac, Omniverse, or similar 3D/manufacturing simulation environments

  • Familiarity with Teamcenter, Siemens Technomatix Process Simulate, or similar tools

  • Ongoing development of technical expertise

  • Recognition for outstanding contributions

Why Join GM

This is an opportunity to help shape the future of manufacturing automation at General Motors by advancing global vision standards, supporting plant execution, and developing next-generation machine vision solutions.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908