--- title: 'Vision Systems Engineer at Trener' canonical: 'https://feeny.ai/job/vision-systems-engineer-trener-trondheim-n6b6ypz15x3q' type: 'job' last_seen: '2026-11-07' --- # Vision Systems Engineer at Trener - **Company:** Trener - **Location:** Trondheim, Norway - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-02 - **Last confirmed live:** 2026-11-07 - **Apply:** https://jobs.ashbyhq.com/trener-robotics/9d4c0eab-c876-4537-a4eb-8854f2127e0a ## Job description Vision Systems Engineer Job description | Trener Robotics ## About us At Trener Robotics, we are building the future of industrial automation through intelligent agents that understand natural language and control robotic stations. Our product, Acteris, bridges AI and robotics to deliver flexible, user-friendly automation. We are a fast-growing, venture-backed company entering a phase of rapid scale. Our mission is to make AI-powered robotics accessible, and we are building the team that will make it real. Now, we are looking for a Vision Systems Engineer to join us and build the vision stack of Acteris. ## The role You will lead the technical development of the vision stack of our robotics software platform, Acteris, from sensor selection and integration to calibration, vision algorithms and quality in production. This is a hands-on role with high autonomy: you will drive the key technical decisions in the vision domain and be accountable end to end for the reliability of what ships. You will shape the vision roadmap together with product and engineering leadership. ## What you will do - 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. Required experience - 5 to 8 years of hands-on industrial computer vision experience, with systems deployed and running in production. - Integration and configuration of industrial 3D / RGB-D sensors, including intrinsic and extrinsic calibration and sensor tuning for image and depth quality. - Solid 2D and 3D processing: depth maps, point clouds, filtering, geometric fitting and segmentation. - Production-quality C++ and Python, with testing, code review and CI as part of daily work. - Ownership and clear communication in a distributed team: you plan your work from goals, flag blockers early and report status openly. ## Nice to have - Experience with ROS 2 and behavior trees. - Selecting and qualifying sensors for factory deployments. - Deep learning or foundation models for segmentation or pose estimation, taken to production. - Industrial camera interfaces and synchronization (e.g. GigE Vision, triggering, PTP). - Vision-guided robotics, e.g. part picking, tray or bin picking, or machine tending and other production cells. ## What you will get - Direct impact on the vision layer of a category-defining automation platform, and on product reliability and customer outcomes. - The opportunity to work hands-on with real robots from day one. - A seat where engineering meets product: your work directly shapes how the platform performs in production. - Collaboration with a high-caliber team across AI, robotics, systems engineering, and product, all aligned on a clear and ambitious mission. - A fast-moving, mission-driven environment where rigorous engineering and pragmatic problem-solving are equally valued. - A clear growth path as the vision domain scales. ## About Trener ## Core Business - **Primary industry**: Industrial robotics automation / Physical AI software - **Target customers**: B2B – manufacturing companies, system integrators, and shop-floor operations running high-mix, low-volume production - **Mission**: Replace rigid, scripted robot programming with training-based, autonomous execution to make industrial automation more flexible and scalable. ## Products & Services - **Acteris**: The core intelligence layer for industrial robots – a vendor-agnostic platform that provides vision, language, and action understanding to enable skills-based programming, natural language task specification, real-time adaptation, and production monitoring. Compatible with ABB, Universal Robots, and FANUC, with more brands planned. - **T-Labs**: Dedicated R&D engine that develops new robot skills using vision-language-action models, simulation, and data-efficient training pipelines. Feeds production-ready capabilities into Acteris. - **T-Job, T-Agents, T-Vision, T-Sim, T-Monitor, T-Skill, T-Sense (coming soon)**: Specific modules within Acteris for job orchestration, agentic control, vision perception, simulation, monitoring, skill execution, and haptic sensing. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $38.2M across four rounds (Pre-Seed, Seed, Seed extension, Series A) - **Notable Investors/Partners**: Engine Ventures, IAG Capital Partners, Emergent Ventures - **Growth Signals**: - Headcount grew 350% year-over-year to 31 employees (LinkedIn data) - Won the Industry Startup Forum Award at Advanced Factories 2026 - Winner of ABB Startup Challenge 2024 - Expanding to additional robot brands beyond ABB, Universal Robots, and FANUC - Opened offices in San Jose (US HQ) and Barcelona (new hybrid location) ## Competitive Advantages - **Robot-agnostic intelligence layer**: Works across multiple robot brands (ABB, UR, FANUC) without requiring hardware replacement – can retrofit existing workcells. - **Physical AI approach**: Replaces traditional point-to-point programming with Vision-Language-Action models, enabling robots to handle variability and changeovers autonomously. - **Skills, not scripts**: Deployable, reusable robot skills that can be commissioned and scaled across cells, reducing deployment time and maintenance. - **Partner-led commissioning**: Standardized integration suite allows trusted partners to deploy consistently, enabling faster scaling. ## Strategic Focus - Scale deployment of Acteris across more production environments, particularly high-mix, low-volume manufacturing. - Expand robot brand compatibility to additional leading industrial robot manufacturers. - Continue building T-Labs to advance embodied intelligence and skill learning. - Grow the partner ecosystem and sales channels (recent hires like VP of Sales Jacob Pascual Pape indicate commercial acceleration). ## Why Work Here - **Cutting-edge technology**: Work on Physical AI, foundation models, and real-world robotics – a rare intersection of AI and industrial automation. - **Global team**: Offices in San Jose (US), Trondheim (Norway), and Barcelona (Spain) with employees across 6 countries. Hybrid work model (in-office in San Jose and Barcelona, with remote flexibility in some roles). - **Growth trajectory**: Young company (founded 2024) with rapid headcount growth and strong investor backing – opportunity to shape the product and culture early. - **Award-winning environment**: Recognized at Advanced Factories 2026 and ABB Startup Challenge, signaling industry credibility. - **Open roles**: Currently hiring for Integration Engineers (software and field), Technical Sales Engineers, QA Engineers, Business Development Managers, Channel Managers, and Application Engineers – indicating scaling across engineering, sales, and operations. ## Sources 1. [trener.ai](https://trener.ai/) 2. [trener.ai/company](https://trener.ai/company) 3. [trener.ai/platform](https://trener.ai/platform) 4. [builtin.com](https://builtin.com/company/trener-robotics) 5. [linkedin.com](https://www.linkedin.com/company/trener-robotics) ## Other roles at Trener - [Senior Cloud Infrastructure Engineer - Product](https://feeny.ai/job/senior-cloud-infrastructure-engineer-product-trener-san-jose-24qjfesc8wsz) — San Jose, CA - [Senior AI Compute Engineer](https://feeny.ai/job/senior-ai-compute-engineer-trener-san-jose-vje7vp5xmka8) — San Jose, CA - [Robotics Integration Engineer (Field-Focused)](https://feeny.ai/job/robotics-integration-engineer-field-focused-trener-san-jose-1smm4d5h0wsc) — San Jose, CA