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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Robotics Software Engineer Vision-Language-Action Models - **Company:** Trener International LLC - **Location:** San Jose, CA, United States - **Contract:** Permanent contract - **Skills:** Big Data, C++ (Programming Language), Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Robotic Automation Software, Reinforcement Learning, Robot Operating System, Pytorch, Delivery Pipeline, Information Technology, Fanuc, Kuka - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=764617740198e395 ## About the Role * A Master's or PhD degree in robotics, computer science, machine learning, or a related field, or equivalent professional experience in robot learning and manipulation (e.g. visuomotor policy learning, imitation learning, applied reinforcement learning,, Vision-Language-Action models). * Professional experience in Python and C++, with a proven track record of shipping production-quality code. * Deep expertise with a modern ML framework (PyTorch preferred; JAX or TensorFlow also welcome). * Direct experience testing and iterating on physical robots integrated with vision, force-torque, and tactile sensors. * Experience with robotic simulation environments (MuJoCo, Isaac Sim, Drake, or similar). * You thrive in the lab, spending significant time running hardware experiments and troubleshooting real-world edge cases. * Business fluency in English. Skills that will differentiate your candidacy * Experience manipulating and analyzing complex, large-scale, high-dimensional multimodal data from varying sources, with proficiency training models at scale on cloud-based workflows. * Experience with edge deployment and model optimization for real-time control: low-latency inference, quantization, distillation, and pruning to meet tight control-loop rates on resource-constrained, on-robot hardware and accelerators. * Contributions to robot learning through publications or open-source projects. * Familiarity with ROS 2 and hands-on experience using industrial and collaborative robots from vendors such as Universal Robots, ABB, Fanuc, and KUKA. * Experience with multibody dynamics simulators such as Adams. ## Description As a Robotics Software Engineer specializing in robot learning and manipulation, you will drive the design, training, validation, and deployment of contact-rich manipulation skills on real robots. Your focus will be on solving dexterous, contact-rich manipulation tasks. You will develop and integrate sensor-based control strategies and Vision-Language-Action (VLA) policies, managing the full model lifecycle, from architecture and large-scale data collection through training, validation, and reliable deployment on industrial and collaborative robots. This is a hands-on engineering role. You will spend significant time in the lab, running trials on hardware, curating high-quality datasets, and getting models to work on real robotic systems. How you'll move the mission forward * Develop, train, and deploy multimodal VLA and learned manipulation policies that solve contact-rich tasks, integrating sensor-based control strategies that combine vision, force-torque, and tactile feedback. * Run the manipulation model lifecycle, conducting regular trials on real hardware to evaluate algorithmic changes and curate high-quality training datasets. * Architect and build modular components for imitation and reinforcement learning, continuously improving the robustness of contact-rich tasks. * Build pipelines for continual learning, enabling policies to keep improving from new demonstrations and real-world deployment data over time. * Stress-test and optimize the real-time execution framework for learned policies running on the robot. ## Related Videos - [Robots are coming into the wild! 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Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Robots Among us: Advances in AI for Everyday Androids](https://www.wearedevelopers.com/videos/100230-robots-among-us-advances-in-ai-for-everyday-androids) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)