Description

Hybrid: This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility. This position requires an employee to be onsite 3 times per week.

Are you a robot engineer with a passion for designing prototypes, building, and testing robot cells?

Do you envision using your ideas with electrical and mechanical knowledge to build advanced real-time software applications?

Our Vision as a Service (VaaS) is an organization within GM IT, building innovative solutions to support global manufacturing, leveraging current and emerging technologies. One of our initiatives is to protect workers from repetitive, mundane, and dangerous tasks.

The Principal Robotics Engineer is responsible for supporting and reinforcing the adoption of Robotics Software Engineering across the Manufacturing IT organization to improve productivity and efficiency in the Manufacturing space.

Working with Manufacturing Engineering business partners, the Principal Robotics Engineer will identify, evaluate, and adopt rapid iterative and incremental robotics software solutions. The ideal candidate can embrace, execute, and apply transformative robotic technologies, simulations, machine learning, deep learning, computer vision, and turnkey solutions.

Define and adopt GM Manufacturing IT Robotics capabilities

Identify opportunities to update and/or streamline GM Robotics Engineering processes together with Manufacturing Engineering SMEs

Track emerging technologies in the industry, and provide technology recommendations, risk assessments, trade studies, and analyses

Human-robot interaction

Define and develop machine learning and deep learning solutions in real- world environments

Computer vision solutions in real-world environments

Advanced Motion Planning

Ability to digest, design and deploy solutions based on research artifacts

Simulation

Designing solutions at scale (minimize operational overhead) End-to-end understanding of systems and interfaces, so solutions can be built to fit within constraints

Additional Description

Required qualifications:

Master's degree in Computer Science, Robotics, or other Engineering field; or equivalent experience

Extensive hands-on experience in the industry of robotics or academic experience

Knowledge and experience with linear algebra, computer vision, and the overall software development process as part of a team.

Experience with industrial robots and industrial robot programming (FANUC, KUKA, Universal)

Experience working with a variety of vision sensors (such as Photoneo), and especially depth-capable sensors and the associated point cloud outputs

Experience with robot safety systems

Development experience in C, C++, Java, Python, and/or OpenGL in a Linux environment

Experience with ML/DL, Computer Vision, Visualization and Simulation

Preferred skills:

Sound analytical skills and the ability to think outside the box

Comprehensive math understanding

Experience with ROS (Robot Operating System) and MoveIt

Design experience with SolidWorks for modeling mounts for robot sensors

Development experience with edge computing devices, like Jetson Nano

Proven experience in cloud technologies, including Docker, Kubernetes, and High-Performance Compute (HPC) clusters

Experience with PyTorch, TensorFlow, and Keras

Experience with Pandas, PySpark, and Big Data

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship (e.g., H-1B, TN, STEM OPT, etc.) now or in the future.

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 aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards 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.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and 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 at [email protected] or call us at 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.