Job Description

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.

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.

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.

You will:

• 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
• 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
• Work with semantic maps and map-based representations that inform planning — including lane-level geometry, traffic rules, and operational boundaries
• Collaborate with engineers across Perception, Control, and Systems Engineering to ensure the planning stack operates reliably within the full autonomy pipeline
• Contribute to simulation, testing, and validation of planning and control systems — from desktop simulation through to on-vehicle deployment

We expect you to have:

• MSc in Robotics, Control Systems, Vehicle Engineering, Mechatronics or a related field
• 3+ years of research or industry experience in motion planning, vehicle control, or related autonomous systems work
• 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
• Working knowledge of vehicle dynamics modeling, with interest or experience in different vehicle types
• Proficiency in C, Go/Golang, C++
• Familiarity with adjacent domains such as prediction, behavioral/decision-level planning, low-level vehicle control, or functional safety is a plus
• Experience with optimization-based planning (e.g. MPC), sampling-based planning (e.g. MPPI), or learning-based control approaches is a plus

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.

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.

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.