Research Engineer

Nomagic

Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments? Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI? Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution? If your answers are yes, we should talk. At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the "internet data" of robotics - massive deployment logs from real systems operating in production environments -  to bootstrap our efforts. We are looking for Research Scientists who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.

Quantum Scopes AB

About the Role: Quantum Scopes is seeking a motivated Researcher to contribute to the development of advanced quantum microscopy and optical instrumentation. The role combines experimental quantum optics, scientific software development, and data acquisition, supporting cutting-edge research in quantum photonics and imaging. Key Responsibilities: * Develop and maintain scientific software for instrument control and data acquisition using Python and C++. * Design and implement graphical user interfaces (GUIs) for laboratory experiments. * Develop automated data analysis pipelines for high-throughput experimental measurements. * Integrate and test optical and electronic hardware, including cameras, detectors, motion stages, and laboratory instruments. * Assist in the design, alignment, calibration, and optimization of optical systems. * Troubleshoot experimental hardware and software to ensure reliable operation. * Collaborate with researchers to develop new measurement techniques and improve experimental workflows. * Maintain technical documentation and support reproducible research practices. Required Qualifications: * Master’s degree in Physics, Engineering Physics, Electrical Engineering, Photonics. * Experience with cryogenics and superconducting quantum devices. * Experience in quantum optics, photonics, microscopy, or spectroscopy. * Strong programming skills in Python; experience with C++ is desirable. * Knowledge of scientific computing and data analysis. * Experience working with laboratory instrumentation and experimental systems. * Strong analytical and problem-solving skills. * Ability to work independently as well as in a collaborative research environment. Preferred Qualifications: * Familiarity with data acquisition systems and laboratory automation. * Experience with optical alignment and imaging systems. * Knowledge of scientific GUI development (e.g., PyQt/PySide). * Experience with version control systems such as Git. What We Offer: * Opportunity to work on cutting-edge quantum technologies. * Collaborative and research-driven work environment. * Exposure to advanced optical instrumentation and scientific software development. * Professional growth through interdisciplinary research and engineering projects.

Farang AB

We are a small AI research lab based in Enköping, Mid Sweden, building superintelligence. Our goal is to build the next generation of AI: a new architecture designed to go beyond today’s LLMs and eventually replace them in areas where current models are too limited. We are now looking for a junior AI engineer / AI builder to join our team. WHAT WE ARE BUILDING We’re not building another chatbot. We’re not wrapping OpenAI and pretending it’s a breakthrough. We’re not fine-tuning someone else’s LLM and calling it frontier AI. We are developing a new AI architecture from the ground up. Our current model has already achieved leading results across very different types of tasks, including ImageNet, extreme Sudoku and hard maze problems. For us, the important signal is not just performance on one benchmark. It is that the same model can perform well across very different problem domains. We are looking for someone who wants to help push a new architecture forward. ABOUT THE ROLE This is a hands-on role in a small research team. You will work close to the core technology and help with experiments, evaluation, tooling and datasets. You will have a lot of freedom, which means you need to be able to figure things out, test ideas quickly, and drive your own work forward. Your day-to-day will involve running AI experiments testing models on reasoning, vision and problem-solving tasks improving datasets and evaluation pipelines building internal tools analyzing failure cases writing small prototypes documenting results helping us move the core architecture forward WHO YOU ARE We don’t care about a perfect CV or formal credentials. We care about how you think and what you can build. You are a builder. You enjoy building, testing, and improving things. You spend your time coding, training small models, or creating tools just to see how they work. You are deeply curious about AI. You have a serious interest in intelligent systems. You understand that today's LLMs are powerful, but you also see their fundamental limitations and want to understand what happens under the hood. You are independent and learn quickly. You know how to take a vague, unclear technical problem, break it down, and solve it without someone holding your hand. You thrive in a small startup environment. You communicate clearly and are comfortable working in a tight-knit team where things move fast and priorities can change. SHOW US WHAT YOU’VE BUILT When you apply, skip the traditional cover letter. Instead, show us something you have built. It can be a GitHub repo, a messy notebook, a custom solver, a game, or a write-up of an experiment you did. Anything weird, ambitious or technically interesting that you’re proud of, we want to see it. LOCATION AND WORKING STYLE We are based in Enköping, Sweden. The role is remote, but you should be able to join regular in-person working sessions in or near Enköping when needed. We work flexibly, but we are not detached. This is a high-ownership role that requires active engagement, momentum and clear communication. We care about output, ownership and progress. LANGUAGE We work in both Swedish and English. Strong spoken and written Swedish is prioritized. You should also be comfortable using English for technical discussions, documentation and research material. HOW TO APPLY Send us: A short note about why this role interests you One or more examples of things you have built Your thoughts on why today’s LLMs are not enough Your location and availability No long cover letter needed. Show us your work. We review applications on a rolling basis. The position may be filled before the final application date if we find the right person.