Automation Software Engineer: Robotics & Vision

Toyota Industries

New York (NY)

On-site

USD 83,000 - 136,000

Full time

14 days+

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Benefits offered by this job

Competitive Salary
Performance Bonus
Paid Holidays
Medical plans

Job summary

Toyota Material Handling North America (TMHNA) is seeking an Automation Software Engineer to design and implement high-performance C++ software for real-time data processing and robotics applications in Greene, New York. You will work with ROS2, DDS, and embedded systems to integrate sensors, cameras, LiDAR, and robotic platforms.

The role emphasizes collaboration across software, embedded, robotics, ML, and mechanical teams, with opportunities to mentor others and contribute to safety-critical

Qualifications

  • Bachelor's degree in a related engineering discipline.
  • 2+ years of professional experience in C++, Python, or C#.
  • Experience with Git and Linux-based development.
  • Hands-on with cameras, LiDAR, embedded controllers or robotic platforms.

Responsibilities

  • Design, develop, and integrate high-performance C++ software for real-time data processing.
  • Develop ROS2/DDS software for robotics and autonomous systems.
  • Collaborate with multidisciplinary teams to deliver solutions.
  • Lead development of software components and resolve architectural challenges.
  • Create documentation, validation plans, and test procedures.
  • Mentor engineers and promote continuous learning.

Skills

C++
Python
Git
Linux
Robotics
Computer Vision

Education

Bachelor's degree in Computer Science / Electrical Engineering / Robotics

Tools

ROS2
DDS
Git
Embedded Linux

Job description

Toyota Material Handling North America (TMHNA) is seeking an Automation Software Engineer to design and implement high-performance C++ software for real-time data processing and robotics applications in Greene, New York. You will work with ROS2, DDS, and embedded systems to integrate sensors, cameras, LiDAR, and robotic platforms.

The role emphasizes collaboration across software, embedded, robotics, ML, and mechanical teams, with opportunities to mentor others and contribute to safety-critical

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