<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 Motion Planning and Control Engineer to join our Motion Planning and Control team. The ideal candidate brings a strong foundation in control theory and vehicle dynamics, solid software engineering skills, and the curiosity to work across a wide range of platforms and operating conditions.</p><h3>You will: </h3><ul><li>Develop and maintain motion planning and control algorithms for autonomous vehicles — including trajectory generation, path planning, and lateral/longitudinal control using both classical control techniques and modern optimization- or sampling-based methods</li><li>Model and work with a variety of vehicle dynamics — including articulated vehicles, tracked platforms, and other non-standard traction systems beyond conventional tire-based models</li><li>Work with semantic maps and map-based representations that inform planning — including lane-level geometry, traffic rules, and operational boundaries</li><li>Collaborate with engineers across Perception, Control, and Systems Engineering to ensure the planning stack operates reliably within the full autonomy pipeline</li><li>Contribute to simulation, testing, and validation of planning and control systems — from desktop simulation through to on-vehicle deployment</li></ul><h3>We expect you to have:</h3><ul><li>MSc in Robotics, Control Systems, Vehicle Engineering, Mechatronics or a related field</li><li>3+ years of research or industry experience in motion planning, vehicle control, or related autonomous systems work</li><li>Solid foundation in classical control theory (PID, state-space, LQR, observer design) and an understanding of how it complements modern optimization- and sampling-based methods</li><li>Working knowledge of vehicle dynamics modeling, with interest or experience in different vehicle types </li><li>Proficiency in C, Go/Golang, C++</li><li>Familiarity with adjacent domains such as prediction, behavioral/decision-level planning, low-level vehicle control, or functional safety is a plus</li><li>Experience with optimization-based planning (e.g. MPC), sampling-based planning (e.g. MPPI), or learning-based control approaches is a plus</li></ul><p>This is a 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>This position may support programs with defense or dual-use technology components. Due to this, specific security clearance (including background control) or eligibility may be required.</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>

Motion Planning and Control Engineer

<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 Motion Planning and Control Engineer to join our Motion Planning and Control team. The ideal candidate brings a strong foundation in control theory and vehicle dynamics, solid software engineering skills, and the curiosity to work across a wide range of platforms and operating conditions.</p><h3>You will: </h3><ul><li>Develop and maintain motion planning and control algorithms for autonomous vehicles — including trajectory generation, path planning, and lateral/longitudinal control using both classical control techniques and modern optimization- or sampling-based methods</li><li>Model and work with a variety of vehicle dynamics — including articulated vehicles, tracked platforms, and other non-standard traction systems beyond conventional tire-based models</li><li>Work with semantic maps and map-based representations that inform planning — including lane-level geometry, traffic rules, and operational boundaries</li><li>Collaborate with engineers across Perception, Control, and Systems Engineering to ensure the planning stack operates reliably within the full autonomy pipeline</li><li>Contribute to simulation, testing, and validation of planning and control systems — from desktop simulation through to on-vehicle deployment</li></ul><h3>We expect you to have:</h3><ul><li>MSc in Robotics, Control Systems, Vehicle Engineering, Mechatronics or a related field</li><li>3+ years of research or industry experience in motion planning, vehicle control, or related autonomous systems work</li><li>Solid foundation in classical control theory (PID, state-space, LQR, observer design) and an understanding of how it complements modern optimization- and sampling-based methods</li><li>Working knowledge of vehicle dynamics modeling, with interest or experience in different vehicle types </li><li>Proficiency in C, Go/Golang, C++</li><li>Familiarity with adjacent domains such as prediction, behavioral/decision-level planning, low-level vehicle control, or functional safety is a plus</li><li>Experience with optimization-based planning (e.g. MPC), sampling-based planning (e.g. MPPI), or learning-based control approaches is a plus</li></ul><p>This is a 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>This position may support programs with defense or dual-use technology components. Due to this, specific security clearance (including background control) or eligibility may be required.</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> 

Motion Planning and Control Engineer

About the Job

About the Company

Einride

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