Can you combine machine learning, AI, and control systems to improve human-robot collaboration?

InMind is a robotics company based in Trondheim and Palo Alto, building technology for safe, smart, and efficient human-robot collaboration. Our first robot is designed to work alongside people, reduce manual workload, and improve efficiency in environments where traditional automation comes up short.

To succeed where other robotic systems struggle, we have built a unique technical architecture with custom FPGA-based electronics, tailored mechanics, and a fully integrated solution for highly efficient on-device signal processing and training of specialized ML and AI algorithms. This enables robots to learn quickly, adapt in real time, and operate safely in complex, industrial settings.

We have a strong and highly competent team of 20 people who have already built a working robot, which is now being refined in iterations together with key pilot customers. As we enter our next growth phase, we are expanding the product-development team with a set of targeted hires that will increase capacity and competency, strengthen execution, and accelerate the path from advanced technology to robust products and customer value.

Two of the key roles we are now looking to fill are Robotics AI Engineer (Control Systems) positions, focused on developing and adapting AI-driven functionality that works as part of a real robotics system. In this role you will combine machine learning and AI with control systems and system design to improve robot performance in practical, real-world use cases. Working closely with robotics, hardware, and system teams, you will ensure that models are not only accurate in theory, but robust, deployable, and effective in practice. This is a hands-on role for someone who enjoys working at the intersection of AI, control, and system behavior.

What experience and qualifications do you bring?

The most important thing you bring to InMind is experience with applied AI in robotics or related domains, and the ability to make models perform as part of a real system. You understand that strong AI solutions depend not only on model quality, but also on system behavior, control principles, and the ability to iterate based on real-world data. You are comfortable moving between development, deployment, and improvement, and enjoy solving problems where AI and control must work together in practice.

You may recognize yourself in some of the following:

• Experience in with applied AI in robotics or similar domains, such as perception, control, or decision systems
• Strong understanding of system behavior, control principles, and how AI interacts with real-world dynamics
• Practical experience developing, training, deploying, and running models in real systems
• Experience in optimizing model performance in edge, embedded, or otherwise resource-constrained environments
• Ability to improve robot or system performance through a combination of AI methods, control systems, and system design
• Ability to iterate quickly based on application data, testing, and evolving product needs

We would like you to communicate well in English, both written and spoken. Norwegian is an advantage, but not a requirement. Additional language skills are of course a plus.

We expect you to have at least three years of relevant work experience and a Master’s degree in cybernetics, robotics, artificial intelligence, machine learning, control systems, or a related field.

Who are you as a person?

We believe you are someone who enjoys solving technically demanding problems and takes pride in making advanced functionality work in practice. You are curious, analytical, and pragmatic, and you are motivated by challenges where theory must be translated into robust product performance.

You are comfortable working in an environment where not everything is fully defined from the start, and where progress depends on people who are able to combine experimentation, engineering judgement, and continuous learning.

Just as importantly, you enjoy working closely with others and understand that strong robotics performance is created through collaboration across disciplines. You communicate clearly, contribute positively to the team around you, and know when to take ownership and when to involve others.

We believe you are structured, down-to-earth, and genuinely motivated by developing AI-driven solutions that improve how robots behave and perform in the real world.

Personal fit will be given significant weight.

Why join InMind?

This is an opportunity to join a company with a clear direction, ambitious goals, and a team that is already working in a focused and structured way toward product and market. At the same time we are still at a stage where the right people can actively influence solutions, contribute to innovation, and help shape how we continue to develop both our technology and our products.

You will work closely with a highly skilled and multidisciplinary team in an environment where responsibility is shared, ideas are valued, and collaboration matters. We work in agile iterations, with teams focused on different parts of the product and the problems we are solving, supported by a structured process and experienced people who help ensure coordination, learning, and steady progress.

We offer competitive terms, including salary, pension and insurance arrangements, flexible working conditions, and modern offices at Tyholt in Trondheim. As part of our continued growth, we offer an employee shareholder program and long-term incentive schemes.

Would you like to join us on our mission to make robots learn?

If this role sparks your curiosity, we would love to hear from you. Don’t hesitate to reach out to our recruitment partner at LHH, Trude Støren (+47 928 92 461), or InMind COO John Raaum (+47 934 20 086), to learn more – or simply send us your application. We review and interview candidates on an ongoing basis, even before the formal application deadline.

InMind is an international and multidisciplinary team with people from several parts of the world, and we see diversity of background and perspective as a clear strength. Like many companies in our field, we are currently more men than women — and we would genuinely welcome more female applicants. Even if you do not meet every single requirement, we would still encourage you to apply if the role and our mission resonate with you.

Application Deadline : Thursday May 21

About the company

InMind is a Norwegian deep-tech robotics company redefining human-robot collaboration in complex, industrial environments. We push the boundaries of embodied intelligence, developing a robot that quickly learns new tasks, adapts in real time, and operates safely.

InMind is backed by well-established, long-term investors with solid experience in building and scaling industrial companies. Our hands-on founder has a track record of building several successful companies and understands what it takes to succeed.

We firmly believe that now is the time to make a significant impact. Do you want to be part of something unique at an exciting stage of growth? Don't miss this opportunity.

Join in on our journey!