You will contribute to a long-term project with a leading automotive client in Southern Germany, working on advanced automotive SoCs to enable next-generation AI-driven solutions.

This role offers the opportunity to work at the intersection of embedded systems, AI hardware, and automotive innovation.

Senior Embedded Software Engineer

Your responsibilities

• Design and implement performance measurement systems for hardware AI accelerators on modern automotive SoCs.
• Evaluate AI accelerator resource usage during inference across diverse AI models and real-time operating constraints.
• Develop schedulers and load balancers for AI accelerators, enabling concurrent soft real-time inference for multiple AI models.
• Collaborate with stakeholders and cross-functional teams to define requirements, architecture, and technical strategies.
• Ensure alignment between hardware resources, technical specifications, and business objectives to deliver optimized solutions.

Our requirements

• Minimum 5 years of professional experience in real-time embedded systems and software engineering.
• Strong proficiency in C++ for embedded system development.
• Deep understanding of machine learning models and inference execution on specialized hardware accelerators.
• Expertise in scheduling and load-balancing systems/algorithms.
• Excellent communication, presentation, and technical writing skills.
• Ability to thrive in multidisciplinary, cross-cultural teams.
• Onboarding: Initial onboarding in Prague; quarterly training sessions in Southern Germany (all travel expenses covered by the client).
• Experience developing embedded software compliant with standards such as IEEE 12207, ASPICE, or VDA QMC.
• Prior exposure to Qualcomm automotive SoCs.
• Familiarity with automotive safety standards and industry regulations.
• Knowledge of Agile methodologies and tools (Jira, Confluence).