First company to deploy cab-less autonomous electric vehicles on public roads, providing freight capacity as a service to enable sustainable transport.

Join Einride, a pioneering company in transforming road freight through digital, electric, and autonomous technologies. As the first company to deploy cab-less autonomous electric vehicles on public roads in both Sweden (2019) and the US (2022), Einride is revolutionizing the transport industry. Working with Fortune 500 companies across 8 countries, we're making sustainable transport a reality.

As a Data Engineer, you'll be part of a team developing our freight management platform for electric transport. This platform encompasses vehicle telematics, backend systems, transport planning interfaces, and machine learning models for energy consumption. You'll build data pipelines using real-time data from vehicles and logistics systems to enable actionable insights around sustainability and performance.

We're seeking an enthusiastic, humble, and creative Data Engineer who's passionate about creating elegant solutions to help the transport industry transition to electric. You'll work with cloud-native tools like BigQuery, dbt, Dagster, and Google Pub/Sub, while utilizing programming languages such as Python, Java, or Go. Your role will involve building high-quality data pipelines, developing data strategies, and mentoring junior engineers.

The position offers the opportunity to work with cutting-edge technology in sustainable transport, alongside a diverse team of innovators. Based in Stockholm with a hybrid work arrangement, you'll be part of a company that values open discussion, different perspectives, and meaningful impact. Join us in our mission to transform road freight – for good.

Data Engineer position at Einride, building data pipelines for electric and autonomous transport systems, working with cloud-native tools and real-time vehicle data.

Data Engineer

First company to deploy cab-less autonomous electric vehicles on public roads, providing freight capacity as a service to help businesses achieve sustainability goals.

Einride, a pioneering company in autonomous electric transport, is seeking a Senior Software Engineer to join their innovative team. Founded in 2016, Einride made history as the first company to deploy a cab-less autonomous electric vehicle on public roads in Sweden (2019) and the US (2022). The company operates across 8 countries, serving Fortune 500 clients.

The role focuses on developing their freight management platform for electric transport, which includes vehicle telematics, transport planning systems, and machine learning models for energy consumption. As a Senior Software Engineer, you'll work with modern technologies like Go, gRPC, and Google Cloud Platform, contributing to a dynamic environment where teams ship to production multiple times daily.

The ideal candidate should have extensive backend development experience, though Go expertise is a plus rather than requirement. You'll need strong skills in translating complex business processes into effective system designs, preferably using Domain Driven Design. The role demands someone who thrives in fast-paced environments and can both collaborate effectively and mentor others.

Working from either Stockholm or Gothenburg in a hybrid setup, you'll be part of a diverse team that values open perspectives and innovative thinking. This is an opportunity to contribute to transforming road freight transportation while working with cutting-edge technologies and making a significant environmental impact. The position offers the chance to work with some of the world's biggest shippers while helping businesses accelerate towards their sustainability goals.

Senior Software Engineer position at Einride, developing electric freight management platforms using Go and cloud technologies in Sweden.

Senior Software Engineer

Einride is transforming road freight using digital, electric, and autonomous technologies, offering freight capacity as a service to help businesses meet sustainability goals.

Einride, founded in 2016, is revolutionizing road freight with digital, electric, and autonomous technologies. As the first company to deploy a cab-less autonomous electric vehicle on public roads in Sweden (2019) and the US (2022), Einride serves Fortune 500 clients across 8 countries. The Autonomous Technology team at Einride is seeking experienced Perception Engineers to join their diverse, top-talent team in Stockholm.

As an Experienced Perception Engineer, you will:
- Develop a deep understanding of technologies for a world-class perception platform in autonomous driving
- Work on advanced signal processing algorithms and data fusion techniques for object detection, classification, and tracking
- Develop the company's tech stack conceptually and through implementation
- Collaborate with teams responsible for different hardware and software parts of the autonomous driving stack
- Identify and maintain strategic partnerships
- Stay current with the latest research and participate in conferences
- Mentor colleagues and push for quality and throughput

Key requirements:
- Recent experience in developing complex functional architectures for perception software
- Good understanding of the entire perception system, including sensor technologies
- Pragmatic problem-solving skills and eagerness to learn new technologies
- Ability to drive decisions on high-level architecture and strategic technology choices
- Self-directed and comfortable working in a fast-paced startup environment

Bonus skills:
- Automotive industry experience
- GPU programming experience
- Machine learning experience for perception applications
- Experience with system requirements and verification of complex systems
- Knowledge of Einride's tech stack: Linux, Go, C/C++, Python, gRPC, Matlab/Scilab, Docker

This full-time position is based in Stockholm, with a hybrid work arrangement. Einride values diversity and seeks innovative solutions through open discussion and different perspectives. Join Einride to be part of transforming road freight for a sustainable future.

Join Einride as an Experienced Perception Engineer to develop world-class autonomous driving technology and transform road freight sustainably.

Experienced Perception Engineer

Einride, founded in 2016, is revolutionizing road freight with digital, electric, and autonomous technologies. As the first company to deploy a cab-less autonomous electric vehicle on public roads in Sweden (2019) and the US (2022), Einride serves Fortune 500 clients across 8 countries. They're seeking passionate Machine Learning Engineers to join their innovative team.

As a Machine Learning Engineer at Einride, you'll:
- Design, implement, and optimize models for autonomous driving production systems
- Explore, prototype, and evaluate state-of-the-art algorithms
- Develop core deep learning software for efficient training, testing, and deployment pipelines
- Mentor and lead others, guiding technology decisions

Key requirements:
- Strong programming skills in C++, Python, or similar languages
- In-depth understanding of Machine Learning and Deep Learning architectures
- Experience in areas like 2D/3D object detection, classification, segmentation, multi-object tracking, sensor fusion, and motion prediction
- Proficiency with LIDAR and/or camera data, large datasets, and deep learning frameworks like PyTorch
- Deep knowledge of linear algebra, probability, and statistics theory

Bonus skills:
- PhD in machine learning, computer vision, robotics, or related field
- Experience with autonomous vehicles
- Experience using Go
- Expertise in optimizing and deploying deep learning models in real-world environments

Einride values diversity and believes that their best innovations come from a diverse mix of people with different experiences and perspectives. Join their team to be part of transforming road freight for a sustainable future.

Join Einride as an Experienced Machine Learning Engineer to revolutionize autonomous driving technology and transform road freight for sustainability.

Einride Engineering Jobs

First company to deploy cab-less autonomous electric vehicles on public roads, providing freight capacity as a service to enable sustainable transport.