<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 freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.<br></p><p>Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting.</p><p>We are growing our team and 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><h3>You will:</h3><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</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 systems.</li></ul><h3>We expect you to have:</h3><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>3+ 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><p>This is a full-time position based in Gothenburg or Stockholm, although we are open to remote for the right candidates. 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>Please note that as part of our standard recruitment process, we conduct a background control on the final candidate for this role. This may include verification of education, employment history, any relevant professional certifications or other information that may be of our interest.</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> 

<p>Part commercial enterprise, part revolutionary movement, Einride is bent on a complete transformation of the transportation industry. By challenging conventional thinking, by utilizing big data and cutting-edge technology &mdash; and by inspiring people to take responsibility for the planet and each other &mdash; Einride is making the movement of goods more intelligent: emission-free, safe, cost-effective, and ultimately, sustainable.</p>

Senior Deep Learning Engineer, Autonomous Technologies

<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 freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.<br /></p><p>Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting.</p><p>We are growing our team and 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><h3>You will:</h3><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</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 systems.</li></ul><h3>We expect you to have:</h3><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>3+ 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><p>This is a full-time position based in Gothenburg or Stockholm, although we are open to remote for the right candidates. 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>Please note that as part of our standard recruitment process, we conduct a background control on the final candidate for this role. This may include verification of education, employment history, any relevant professional certifications or other information that may be of our interest.</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> 

Senior Deep Learning Engineer, Autonomous Technologies

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About the Company

Einride

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