Embedded Engineering

Programming Languages Researcher (Rust) | Remote / Europe / EU citizen / 12 month contract A world-class engineering lab is pushing the boundaries of systems programming using Rust to build safe, high-performance infrastructure across mobile, cloud, and embedded platforms. They’re now hiring a Programming Languages Researcher to lead cutting-edge work at the intersection of programming languages, hardware acceleration, and AI systems. What You’ll Do:Design and prototype advanced Rust features and tools for real-world system challenges.Work directly with GPUs, NPUs, and other hardware accelerators, using Rust to simplify low-level, mechanical programming.Optimize software stacks by replacing existing C++ libraries (e.g., PyTorch, TensorFlow) with Rust-based implementations, looking to improve performance while avoiding regressions.Contribute to internal efforts using custom hardware (e.g., Huawei’s in-house NPU) designed for complex model architectures.Collaborate with engineering and research partners to drive large-scale adoption of Rust across critical systems.Influence the technical roadmap for safer, faster systems programming.What You’ll Bring:PhD (or equivalent experience) in Programming Languages, Operating Systems, or related field.Deep Rust expertise with a focus on performance and memory safety.Strong understanding of hardware architectures, programming intrinsics (e.g., GPU intrinsics), and systems-level optimization.Experience with C/C++ to Rust migration, and applying Rust in accelerator-rich environments (GPU, TPU, NPU).Excellent technical communication and leadership skills.Why Apply? This is a rare opportunity to work on impactful systems at the convergence of language research, AI, and hardware acceleration.

Our client pioneering Level 4 certifiable autonomous driving technology tailored for local public transport—built on a foundation of German precision and cutting-edge cognitive AI. Their mission is to connect people, no matter where they are, by delivering intelligent, explainable, and legally certifiable autonomous mobility systems. Through neuroscience-inspired decision-making and a full-sensor stack, their autonomous driver sets new standards for safety, transparency, and scalability. As a System Architect, you will design and define the complex systems that power our AI-driven autonomous driving stack, from edge computing to cloud-native integrations. Responsibilities: • Design and implement real-time embedded systems and edge computing architectures for autonomous vehicle platforms. • Develop and integrate vehicle networks including CAN, LIN, FlexRay, and Automotive Ethernet for robust in-vehicle communication. • Define and maintain software and hardware system architecture for AI/MLbased perception and decision-making pipelines. • Lead the development of service-oriented architectures (SOA, microservices) and support their deployment using containerization tools such as Docker and Kubernetes. • Ensure compliance with functional safety and cybersecurity standards such as ISO 26262 and ISO/SAE 21434. • Architect and implement systems that support OTA updates, V2X communication, and DevOps pipelines (e.g., GitLab CI, Jenkins). • Bridge embedded, edge, and cloud infrastructure, leveraging platforms like AWS, GCP, or Azure for cloud-to-car functionality. Requirements: • Proven experience with embedded systems and real-time system architectures. • Expertise in sensor fusion, particularly with Radar, LiDAR, and Camera systems. • Strong background in high-performance computing (HPC) and edge AI applications in vehicles. • Familiarity with cloud-native architectures and cloud platforms (AWS, Azure, or GCP). • Experience with containerization (Docker, Kubernetes) and DevOps/CI-CD pipelines. • Knowledge of Software-Defined Vehicles (SDV) and AUTOSAR (Classic & Adaptive) platforms. • Understanding of vehicle communication protocols and V2X technologies. • Strong grasp of system-level cybersecurity and functional safety requirements. • Experience with ROS/ROS2 is a plus. • Excellent communication skills and ability to collaborate across hardware/software teams. Note: Certain expertise areas such as AUTOSAR or specific cloud platforms can be flexible based on the candidate’s strengths and learning capabilities. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.

Opportunity to join an innovative team at a leading Medical Devices company dedicated to revolutionizing Cardiac Health with the aim of enhancing safety and reducing healthcare costs.Role: Senior Embedded EngineerLocation: Munich Salary: €80,000 - €110,000 As a senior member of our software team, you will work with very skilled people to design and build excellent software for our new medical imaging system. This system will help doctors see inside the body better. You will have an important role in our new company and be part of a lively group of thinkers who are creating the future of medical imaging.What you will do:Build a Linux-based system for our software to run on. This will make sure our software is stable, easy to keep working well, and safe to use for our product.Help plan and build a connected system that takes signals and information, processes it very quickly, and doesn't have delays.Create new parts of the software using your knowledge of the C++ computer language and how to build software.Work with new technology like C++20 and how to use computer graphics cards (GPGPU). You'll also use tools called CMake and package management.What you need to have:At least 3 years of work experience writing software for Linux computers using C++.Good experience using Yocto (or something similar) to build a special system for complex software products to run on.You should know how to create a list of all the software parts in a standard format like CycloneDX or SPDX.Experience building software with another computer language called Rust is helpful.For more information apply with your details and let’s discuss the next steps.