Perception Engineer — Autonomy with dual-use application

Want to be part of transforming road freight? Einride is showing the world a new way to move, based on the latest digital, autonomous and electric technologies. We build the technology that hauls freight efficiently, and we put it to work for the world's leading manufacturers, retailers, logistics providers and defense organizations, all working toward a future where moving goods cost less for our customers, and less for the planet.

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 U.S. public road. In June 2026, Einride became a publicly listed company on Nasdaq, a milestone that reflects a decade of turning what once looked like science fiction into everyday reality. Today, our technology moves freight across North America, Europe, and the Middle East for some of the world's biggest shippers.

We are looking for a Perception Engineer with a strong interest for multi-modal perception and localization systems for autonomous platforms. The ideal candidate has software engineering and machine learning skills, preferably with experience designing, developing, and transitioning R&D solutions into fielded, mission-ready systems.

You will:

• Research and develop state-of-the-art perception algorithms, including deep learning models, for autonomous platforms operating in contested and unstructured environments
• Design, train, and optimize ML/DL solutions for sensor fusion, 3D object detection and classification, scene understanding, segmentation, tracking, behavior modeling
• Build and maintain data and training pipelines (curation, labeling, augmentation, evaluation), including for limited or sensitive data, and drive continuous performance improvements.
• Keep sensors accurately calibrated and aligned across the sensor suite, and correct drift caused by varying field conditions.
• Integrate, validate, and deploy production-ready solutions, including optimizing models for real-time inference on embedded, SWaP-constrained, and ruggedized hardware.
• Collaborate closely with System Engineering, Planning, and other teams to build a safe, resilient, and deployable perception stack.

We expect you to have:

• Strong technical background in Robotics, Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field
• Preferably 3-5+ years research or industry experience in one or more of: Perception, Sensor Fusion, SLAM, Computer Vision, Machine Learning/Deep Learning, Calibration — defense, aerospace, or other mission-critical domains a plus
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and end-to-end model development: architecture design, training, hyperparameter tuning, and evaluation
• Strong foundation in linear algebra, probability/estimation theory, data structures, algorithm design, and complexity analysis
• Experience with C/C++ and Python, and strong problem-solving skills. You are passionate about solving real-world autonomy challenges in demanding, safety- and mission-critical environments
• Ability to obtain and maintain a security clearance

This is a full-time position based in Gothenburg. 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.

Company Description

Born autonomous. Born electric.

Since 2016, our technology has connected global communities with the things they need – and all without the emissions. We’re made up of experts in multiple fields and that’s how we’ve developed a new way to move goods. This is technology purpose-built for the industry. This is safer, cleaner, and more reliable movement.

We are Einride and this is how we build a better future.