Job DescriptionThe RoleVision And Automation Services (VAAS) is an organization within GM IT, building innovative solutions supporting global manufacturing, leveraging current and emerging technologies. One of our initiatives is to protect workers from repetitive, mundane, and dangerous tasks.
The
Sr. Software Robotics Engineer is responsible for supporting and reinforcing the adoption of Robotics Software Engineering across the MFG IT organization with the goal of establishing significant improvements in the Manufacturing space relative to manufacturing productivity/efficiency. In this role, youwill drive the identification, evaluation, and adoption of rapid iterative and incremental robotics software solutions together with Junior and Staff Robotics Software Engineers and our Manufacturing Engineering business partners. The ideal candidate can embrace, execute and apply Transformative Robotic Technologies, Simulation, ML/DL, Computer Vision and the delivery of turn-key solutions.
Are you a robot engineer with a passion for designing prototypes, building and testing robot cells, who envisions using your ideas, electrical/mechanical knowledge to build advanced technological real-time software applications?
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
We are looking for Senior Robotics Engineers who:
- Have a steadfast drive for excellence.
- Challenge themselves and their peers.
- Enjoy working collaboratively in a cross-functional team.
- Demonstrate a good work ethic.
- Have a strong ability and willingness to learn.
- Excel in robot engineering.
- Understand physics, mechanical, electrical and math (linear algebra) concepts, and can apply them to real application.s
- Desire to deliver innovative solutions to complex problems.
What You'll Do - Definition and adoption of GM MFG IT Robotics capabilities.
- Identify opportunities to update and/or streamline the current GM Robotics Engineering processes together with Manufacturing Engineering SMEs.
- Define and develop ML/DL solutions in real-world environments.
- Computer Vision solutions in real-world environments.
- Ability to digest, design and deploy solutions based on research artifacts.
- Simulation.
- Data Visualization.
- Designing solutions at scale (minimize operational overhead).
- End to end understanding of systems and interfaces, so solutions can be built to fit within constraints.
- Ability to travel as needed to GM plants/facilities throughout the US.
Your Skills & Abilities (Required Qualifications)- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or Mechanical Engineering
- 5+ years of professional experience in robotics software development.
- Knowledge in Python and Java languages.
- Knowledge and experience with ROS (Robot Operating System) and MoveIt.
- Knowledge and experience with linear algebra, computer vision, software development.
- Travel required - 20%-25% of the time (North America - U.S. & Mexico)
What Will Give You a Competitive Edge (Preferred Qualifications)- Masters degree in Computer Science, Robotics, Electrical or Mechanical Engineering.
- ML/DL, Computer Vision, Data Mining, Visualization and Simulation.
- Experience in Cloud Technologies such as Docker, K8, and more generically on HPC platforms.
- Experience with Linux, bash scripts.
- Knowledge in C++, C, C#, Go, SQL, OpenGL.
- Experience with PyTorch, TensorFlow, or Keras.
- Experience with real-time systems.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.Relocation benefits are available for candidates who qualify under company policy.
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