AD/ADAS Software Developer (m/f/d)

We are looking for a highly skilled Senior AD/ADAS Software Developer to strengthen our autonomous driving technology team. In this role, you will design and implement backend systems, cloud-based services, data pipelines, and scenario-processing components that enable tooling for large-scale development, validation, and deployment of advanced driver assistance and autonomous driving functions.

You will collaborate closely with cross functional teams including perception, simulation, systems engineering, and testing to build robust, scalable, and high performance software solutions.

Activities

Your tasks

• You develop and design backend services and distributed systems supporting AD/ADAS development workflows
• You design and implement cloud-native architectures for large-scale data processing and scenario management
• You build and optimize data pipelines for ingestion, transformation, storage, and retrieval of sensor data, simulation results, and scenario datasets
• You define and implement test strategies, including automated testing, CI/CD integration, and validation frameworks for AD/ADAS components
• You work with scenario-based development teams to create tools and services for scenario generation, cataloging, and execution
• You ensure high software quality through code reviews, documentation, and adherence to industry standards (e.g., ISO 26262, SOTIF)
• You collaborate with system architects and product owners to translate requirements into scalable technical solutions
• You mentor junior developers and contribute to best practices in software engineering and cloud development

Overview of our tech stack

• Frontend: TypeScript, Vue.js, Vuex, Vite, React, Jest, WebGL
• Backend: TypeScript, Node.js, Express, Next.js, MongoDB, Postgresql, Python, Docker, Kubernetes, Google Cloud

Requirements

What will you need to be successful?

• You have a master's degree in Computer Science, Software-Engineering, Robotics, or a related field
• You have 5+ years of experience in backend development (Python, Typescript, Java, or similar)
• You have strong expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native technologies (Docker, Kubernetes, microservices)
• You have proven experience building data pipelines and working with large-scale data processing frameworks
• You have solid understanding of test strategies, automated testing, and CI/CD pipelines
• You have experience with AD/ADAS development, simulation environments, or scenario-based testing
• You are familiar with automotive standards and safety requirements (not required)
• You have knowledge of scenario description formats (e.g., OpenSCENARIO, OpenDRIVE)
• You have understanding of machine learning workflows and data annotation pipelines
• You have excellent English communication skills, both written and verbal

Team

About us

Understand.ai was founded in 2017 with the vision in mind to make AI accessible to everyone. To achieve this goal, we're solving the data problem of AI. The tooling and services provided by understand.ai enable our customers to get the right data, at the right quality and right quantity, to make production-grade AI products a reality. Join us to become part of this journey!

Headquartered in Karlsruhe, our team has grown to more than 50 employees since 2017 and is part of the dSPACE Group since 2019. dSPACE is a market innovator and leader in providing solutions and systems for embedded controller software development in the Automotive, Aerospace, and Manufacturing industries. Founded in Germany in 1988, dSPACE employs over 2200 people worldwide, who are committed to making the embedded controls software development process more efficient through innovative tools and services.

Due to our success in growing customer numbers and projects, we need to scale our structure and team sizes in order to continue providing excellent service. Our goal is to make our customers happy and our employees happy. We offer a variety of benefits, but more importantly, we offer an interesting and meaningful work environment and responsibilities, on which you can work with a great level of autonomy.

We can't wait to see what kind of future you choose to build at UAI - so apply now and together create the gold standard for ground truth data for autonomous transportation!

Application Process

1. Cultural Fit Interview (remote)
2. Technical Interview (remote)
3. Meet the team day (on-site/remote)