Software Development Jobs

Mobile Software Engineering Manager

iRobot’s Software Engineering is looking for an exceptional leader to join our team. You’ll be a key contributor to iRobot’s talented and exciting Digital products program. You’ll get to work on inventive software products that provide our customers with rich and convenient ways to interact with our family of consumer robots. The ideal candidate can thrive in a fast-paced environment and enjoys the effective interplay on multi-disciplinary teams to deliver new product capabilities.

As manager of the Mobile software team you will utilize your strong engineering management skills and technical competency, and lead development in an Agile environment to successfully iterate and achieve key product goals. You’ll foster collaboration across technology teams in IoT connectivity, cloud, data analytics, as well as robotics, contributing to next-generation iRobot products and Digital features. Software innovation at iRobot will surprise you.

Integration Engineer

We are searching for a full-time Integration Engineer whose work will help us integrate our AI software products into our customer’s environments. Our products endow industrial robots with the level of autonomy needed to perform an extensive variety of useful tasks and integrate tightly with our customers’ complex software environments.

As an Integration Engineer you will own customer implementations and ensure our product runs seamlessly in a wide variety of customer applications. You will collaborate with our product and project teams to translate customer requirements into the Osaro tech stack. You will work with our customers through concept to initial installation to understand their specific use cases and deliver them exceptional results.

We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say.

Machine Learning Research Engineer

We are searching for a full-time machine learning research engineer to help us improve the capabilities our AI software products, which combine state-of-the-art perception algorithms with powerful adaptive decision-making abilities. Our products endow industrial robots with the level of autonomy needed to perform an extensive variety of useful tasks and integrate tightly with our customers’ complex software environments.

As a machine learning research engineer you will explore new and unique approaches to solving problems in the complex perception and control tasks we face. You will be involved in all stages of algorithm development, from inception and initial implementation to evaluation on our robotic platforms. You will collaborate with other machine learning researchers and engineers with expertise in deep learning, computer vision, motion planning, robotic control, and more.

Experienced Embedded Software Developer, Odense, Denmark

Can you implement the coolest features for mobile robots? Do you dream of working in an international and fast-growing robotics company? Then seize the opportunity today!   An exciting workplace We seek a new colleague for our main office in Odense. If successful, you will be part of our dynamic and ambitious company, whose dedicated […]

Student Worker – Software Automation, Odense, Denmark

Want to be a Student Worker in Software Automation at Universal Robots, R&D? DO YOU WANT TO KICK OFF YOUR CAREER AT THE WORLD MARKET LEADER IN COLLABORATIVE ROBOTS AND WORK AMONG THE BEST ROBOT ENGINEERS IN THE WORLD? We are looking for a talented student worker (starting Jan 2020) within the field of Software […]

Student Worker – Innovation Lab (Data Science), Odense, Denmark

Want to be a Student Worker in Innovation Lab at Universal Robots? DO YOU WANT TO KICK OFF YOUR CAREER AT THE WORLD MARKET LEADER IN COLLABORATIVE ROBOTS AND WORK AMONG THE BEST ROBOT ENGINEERS IN THE WORLD? We are looking for a talented student worker (starting Jan 2020) in the cross field of data […]

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