Vision Systems Engineer

Trener Robotics is building AI-powered robotics and industrial automation through its Acteris platform. The Vision Systems Engineer will lead the technical development of the platform’s vision stack, including sensor selection and integration, calibration, perception algorithms, production quality, and deployment tooling.

Responsibilities:

• Sensor selection and qualification: translate application needs into sensor specs, evaluate industrial 2D/3D cameras against factory constraints (performance, interfaces, ruggedness, IP rating, cost, 24/7 operation) and run bench and in-cell tests to a documented go/no-go
• Sensor integration: build production-grade camera adapters behind a vendor-agnostic interface that exposes sensor status, visual feeds and calibration validity to the rest of the stack
• Sensor and image tuning: tune sensor parameters (e.g. exposure, white balance…) and condition images and point clouds so perception gets a stable input under changing conditions
• Calibration: own intrinsic and extrinsic calibration end to end, including tooling, validation metrics that reflect real-world accuracy, and workflows that non-experts can run on site
• Perception skills: implement, integrate, and maintain capabilities such as part localization and pose estimation, combining classical geometry and learning-based methods pragmatically
• Quality: define and own vision benchmarks and quality gates for the lab and for production, with clear diagnostics and failure reporting
• Deployment tooling: build the interfaces and tools integrators use to set up, calibrate and validate the vision stack in production