Senior Robotics Software Engineer – Vision & Automation (Hybrid)

General Motors Corporation

Austin, Northern (TX, KY)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Relocation benefits

Job summary

General Motors Corporation in Austin, TX, is seeking a Sr. Robotics Software Engineer for Vision and Automation Services (VAAS). You will drive robotics software adoption, collaborate with Manufacturing Engineering, and deliver rapid, turn-key CV/ML solutions across GM plants in the US.

The role emphasizes designing prototypes, building robot cells, and applying real-time software to improve productivity. Travel ~20–25% and hybrid work are expected.

Qualifications

  • Bachelor’s degree in CS/Robotics/EE/ME required.
  • 5+ years of robotics software development experience.
  • Proficient in Python and Java; ROS and MoveIt experience.
  • Strong background in linear algebra and computer vision.

Responsibilities

  • Define and adopt GM MFG IT Robotics capabilities.
  • Identify opportunities to update GM Robotics Engineering processes with SMEs.
  • Define and develop ML/DL and Computer Vision solutions for real-world environments.
  • Design, simulate, and deploy scalable robotics software solutions.

Skills

Python
Java
ROS
MoveIt
Computer Vision
ML/DL
Linear algebra

Education

Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or Mechanical Engineering
Master’s degree in Computer Science, Robotics, Electrical or Mechanical Engineering

Tools

Docker
Kubernetes
Linux
Bash
PyTorch
TensorFlow
Keras
OpenGL

Job description

General Motors Corporation in Austin, TX, is seeking a Sr. Robotics Software Engineer for Vision and Automation Services (VAAS). You will drive robotics software adoption, collaborate with Manufacturing Engineering, and deliver rapid, turn-key CV/ML solutions across GM plants in the US.

The role emphasizes designing prototypes, building robot cells, and applying real-time software to improve productivity. Travel ~20–25% and hybrid work are expected.

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