Sr. Robotics Software Engineer - Vision And Automation Services
General Motors · Austin, TX, US
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About the Role
The Sr. Software Robotics Engineer will support and reinforce the adoption of Robotics Software Engineering across the MFG IT organization, aiming for significant improvements in manufacturing productivity and efficiency. This role involves driving the identification, evaluation, and adoption of rapid iterative and incremental robotics software solutions with cross-functional teams and business partners. The ideal candidate will embrace and apply Transformative Robotic Technologies, Simulation, ML/DL, and Computer Vision to deliver turn-key solutions.
Responsibilities
- Definition and adoption of GM MFG IT Robotics capabilities.
- Identify opportunities to update and/or streamline current GM Robotics Engineering processes.
- Define and develop ML/DL solutions in real-world environments.
- Develop Computer Vision solutions in real-world environments.
- Digest, design, and deploy solutions based on research artifacts.
- Engage in Simulation activities.
- Perform Data Visualization.
- Design solutions at scale to minimize operational overhead.
- Maintain an end-to-end understanding of systems and interfaces for solution deployment within constraints.
- Travel as needed to GM plants/facilities throughout the US.
Requirements
- 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, and software development.
- Ability to travel 20%-25% of the time (North America - U.S. & Mexico).
Skills
- Python
- Java
- ROS (Robot Operating System)
- MoveIt
- Linear Algebra
- Computer Vision
- Software Development
- ML/DL
- Data Mining
- Visualization
- Simulation
- Docker
- K8
- HPC platforms
- Linux
- bash scripts
- C++
- C
- C#
- Go
- SQL
- OpenGL
- PyTorch
- TensorFlow
- Keras
- Real-time systems
Location
- US
- Mexico
Work Type
- Hybrid
- Travel required
Experience Level
- Senior
- 5+ years of professional experience
Education Level
- Bachelor’s degree
- Masters degree
Benefits
- Relocation benefits are available for candidates who qualify under company policy.
- GM supports a rewarding career that rewards you personally.
About the Company
- Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion.
- We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
- 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.
Equal Opportunity
- 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.
- 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.