Location: On-site in San Jose, California or Trondheim, Norway
About Us
Freshly backed by some of the top VCs in Silicon Valley, Trener is redefining robotics by combining advanced AI for intuitive programming with pre-trained skill models that are experts at industrial tasks. With offices in San Jose (USA) and Trondheim (Norway), we provide software that gives our users unprecedented ease-of-use and capabilities for their robots — allowing them to think, adapt, and perform complex tasks like any skilled worker.
Our mission is to make industrial robotics intelligent, accessible, and deployable at scale — for manufacturers, integrators, and operators who need it to simply work. We are a dynamic team of engineers, roboticists, and technologists who are passionate about bringing AI-powered automation to the factory floor.
About the Job
The Release Engineering & Quality Assurance team is responsible for delivering releases of Trener's software platform at high velocity without sacrificing trust in the quality of each release. As a QA Engineer on this team, your job is to execute and review the tests that demonstrate this quality. When a test cannot be completed, you will document detailed steps for reproducing the error and work with the engineering team to verify that the issue has been resolved. As our scope grows, you will use your software development experience and your deepening knowledge of Trener's platform to convert manual tests into automated tests — helping us scale quality alongside our product.
Responsibilities
Perform manual tests of Trener’s software, both in simulation and on real robotics hardware workcells.
Investigate and document failures, and assist the engineering team with verifying fixes.
Develop manual test plans into automated tests in order to scale our quality engineering processes.
Support the release engineering team in delivering high-quality, high-velocity software releases
Requirements
Bachelor's degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related field
Excellent written communication skills and strong attention to details. You will need to concisely describe deviations from expected behavior and provide accurate steps to reproduce errors found during testing.
Programming experience with Linux shell scripting and Python, specifically ROS2
Experience with 6-DOF robot arms from major manufacturers (ABB, KUKA, Fanuc, Universal Robots, or similar)
What Will Differentiate You
Master's degree in relevant engineering discipline
Technical writing and/or presentation experience. Have you published projects with thorough, well-structured documentation? We would love to see.
What We Offer
A unique opportunity to work at the forefront of robotics and AI
A central role in a growing startup where your contributions will directly shape our future
Competitive salary, employee equity, and bonuses
A dynamic and international work environment with offices in the US and Norway
Top Skills
What We Do
T-ROBOTICS is a pioneering AI-driven robotics software company, headquartered in Silicon Valley, USA, and Trondheim, Norway. The company is redefining automation with built-in robotic intelligence, empowering industries to achieve unprecedented flexibility, adaptability, and autonomy in robotic operations. Built on over a decade of ground-breaking research and development, T-ROBOTICS fundamentally reimagines how robots are programmed. Traditional “point-to-point” programming — the industrial standard since the 1960s — is slow, rigid, and fragile. T-ROBOTICS replaces it with ActGPT, an AI-powered platform with pre-trained skills for industrial robots, delivering effortless automation adoption and execution with zero learning curve. By combining generative AI, computer vision, and adaptive control, ActGPT enables robots to understand context, plan intelligently, and execute complex industrial tasks autonomously — from machining and assembly to inspection and material handling. This shift empowers manufacturers to scale automation faster, reduce downtime, and achieve continuous improvement without reliance on expert programmers.
