Lediga jobb Einride AB (publ) i Göteborg

We are looking for a highly motivated Industrial PhD candidate to bridge the gap between cutting-edge academic research and industrial application. In this role, you will be employed by Einride Autonomous Technologies while being enrolled as a PhD candidate at University of Gothenburg.
Your research will focus on exploring and devising methodologies to establish Foundation Models as experienced co-workers to evaluate and improve the safety of autonomous systems – during development and in operation.
Key Responsibilities:
Research & Innovation: Drive high-impact research within the context of the EASe project (Evaluate Autonomous Systems with Foundation Models) that aligns with Einride’s strategic goals and meets highest academic standards
Doctoral Educational Progression: Complete required PhD coursework
Knowledge transfer: Act as the primary link between the company’s R&D team and the university research group
Dissemination: Author scientific papers for international journals and conferences under guidance of the supervision team

Qualifications and requirements:
Master’s degree in Robotics, Artificial Intelligence, Computer Science or related field
Strong foundation in linear algebra, data structures, algorithm design, and complexity analysis
Experience in C/C++ and Python, and experience with practical deep learning frameworks, such as PyTorch and TensorFlow
Strong problem-solving skills, and a desire to to combine theoretical depth with practical industrial problem-solving
Team player. You can take ownership and work with the team to deliver great outcomes
Great communication skills. Fluency in English (both verbal and in writing) is mandatory
Must meet the entry requirements for admittance to doctoral studies at the Graduate School at the Department of Computer Science and Engineering (CSE) at University of Gothenburg (cf. eligibility criteria below)



This is a full-time remote 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.
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.
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. Visa mindre

We are growing our team and looking for a skilled and passionate Software Engineer to join our Motion Planning and Control team. The ideal candidate brings strong experience in optimization-based and sampling-based planning methods, solid software engineering skills, and the ability to bridge the gap between research and production-grade systems.
You will:


Design, develop, and maintain motion planning and control algorithms for autonomous heavy-duty vehicles
Ensure planning safety through the design and application of safety-aware methods such as tube MPC, control barrier functions, or similar constraint-based approaches
Work with semantic maps and map-based representations that inform planning and prediction
Collaborate with engineers across Perception, Control, and Systems Engineering to ensure the planning stack operates reliably within the full autonomy pipeline
Optimize critical components for real-time performance



We expect you to:


MSc in Robotics, Control Systems, Vehicle Engineering, Computer Science, Applied Mathematics, or a related field
Experience with optimization-based planning and/or sampling-based planning, with a strong foundation in optimization, numerical methods, and control theory
Proficiency in Go/Golang, C++ and Python; experience with CUDA or GPU-accelerated computing is a strong plus
Familiarity with adjacent domains such as prediction/forecasting, behavioral/decision-level planning, low-level vehicle control, or functional safety



This is a position based in Stockholm or 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.
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.
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. Visa mindre