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General Motors

Sr. Robotics Software Engineer - Vision And Automation Services

LocationAustin, Texas, United States of America
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
First seenOct 8, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have5
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
Nice to have7
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
Eligibility4
Travel required - 20%-25% of the time (North America - U.S. & Mexico)
GM does not provide immigration-related sponsorship for this role
This role is categorized as hybrid
The selected candidate will be required to travel <25% for this role
Skills
Python
Java
ROS
MoveIt
ML/DL
Computer Vision
Data Mining
Visualization
Simulation
Docker
K8
HPC
Linux
bash
C++
C
C#
Go
SQL
OpenGL
PyTorch
TensorFlow
Keras
real-time systems
Benefits
Relocation
Job Description
The Role
Vision 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.
Legal
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.
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.
Hiring process
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, emailus 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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