Senior Deep Learning Engineer - Einride Autonomous Technologies

<p><strong></strong></p> <p><strong></strong></p><strong> <p>Want to be part of transforming road freight for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through our offering – freight capacity as a service – we enable businesses around the world to accelerate towards their sustainability goals.</p> <p></p> <p>Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric truck on a public road (Sweden, 2019). </p> <p>In 2022, we were the first to successfully operate such a vehicle on a US public road.</p> <p>Today, we are a team of more than 300 people, and our award-winning technology is being deployed across 8 countries (and counting). Our clients include some of the world’s biggest shippers, including Fortune 500 companies.</p> <p></p> <p>We are looking for a skilled and passionate Senior Deep Learning Engineer specialized in multi-modal perception systems for autonomous driving applications. The ideal candidate has strong software engineering skills and experience in designing, developing and transitioning R&amp;D solutions into final products.</p> <p></p> <p>In this role you will:</p> <ul><li>Research and develop state-of-the-art machine learning/deep learning models and architectures to advance our perception stack</li><li>Develop machine learning solutions and deep neural networks to address self-driving challenges such as multi-modal sensor fusion, object detection and classification, scene understanding, tracking and behaviour modelling, and planning.</li><li>Set up automated training pipelines and drive performance improvements</li><li>Integrate, validate, and deploy production-ready solutions</li><li>Collaborate with other members in the Perception organization to continuously improve the perception stack</li><li>Collaborate closely with experts from System Engineering, Localization, Planning, and other teams to build a safe, deployable system</li></ul> <p></p> <p>Qualifications:</p> <ul><li>Strong technical background: PhD or highly qualified MS in one of the following: Robotics, Computer Science, Artificial Intelligence, Mathematics, or a related field</li><li>5+ years research or industry experience in developing ML-based solutions for autonomous systems</li><li>Strong foundation in linear algebra, data structures, algorithm design, and complexity analysis</li><li>Experience in C/C++ and Python, and strong problem-solving skills. You are passionate about solving real-world robotics challenges in the context of autonomous driving</li></ul> </strong><p><strong></strong></p> <p><strong></strong></p> <p></p> <p>This is a full-time position based in Gothenburg. You will be part of a truly diverse, high performing team with a common passion for sustainability and making things happen in an innovative way. We recommend that you submit your application as soon as possible since selection and interviews are held continually.</p> <p>At Einride, we are innovators, building solutions the world has never seen before – but urgently needs. That’s why we take action, and it’s why we are always eager to be challenged. We know that our best innovations come from having a diverse mix of people, including those of different experiences, career paths, and walks of life. By coming together and sharing our perspectives openly – by disagreeing, discussing, and committing – we deliver greater impact.<br/></p>