Sr. Robotics Software Engineer - Vision And Automation Services

Posted 5 Hours Ago
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Austin, TX, USA
Hybrid
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Develop and deploy robotics software solutions for manufacturing, including machine learning, deep learning, computer vision, simulation, and real-time applications. The role involves designing prototypes, building and testing robotic cells, streamlining robotics engineering processes, integrating systems at scale, and collaborating with manufacturing engineering teams. Travel to GM facilities in the U.S. and Mexico is required up to 25% of the time.
Summary Generated by Built In
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, you will 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, OpenG L.
  • 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.
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.
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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 [email protected] 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.

Skills Required

  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or Mechanical Engineering
  • 5+ years of professional experience in robotics software development
  • Knowledge of Python and Java
  • Knowledge and experience with ROS and MoveIt
  • Knowledge and experience with linear algebra, computer vision, and software development
  • Master's degree in Computer Science, Robotics, Electrical Engineering, or Mechanical Engineering
  • Experience with machine learning, deep learning, computer vision, data mining, visualization, and simulation
  • Experience with Docker, Kubernetes, and HPC platforms
  • Experience with Linux and Bash scripting
  • Knowledge of C++, C, C#, Go, SQL, and OpenGL
  • Experience with PyTorch, TensorFlow, or Keras
  • Experience with real-time systems

What the Team is Saying

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General Motors Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, mental-health services, virtual care, and wellness resources. Offerings are often portrayed as a standout element of the package.
  • Retirement Support — Retirement programs are presented as robust, with employer contributions and matching highlighted as a significant advantage. This support is frequently cited alongside savings tools and financial-wellbeing programs.
  • Leave & Time Off Breadth — Paid vacation, numerous holidays, and multiple leave programs are emphasized as part of a broad time-off offering. These elements are commonly noted as meaningful components of total compensation.

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

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