NPU Accelerator SW Engineer

We are looking for an NPU Accelerator SW Engineer to join our team in Bucharest or Sibiu in a hybrid work model (3 days per week on-site). In this role, you will focus on enabling Neural Processing Unit (NPU) accelerators in automotive MCU and MPU-based platforms, delivering high-performance, AI-enabled applications such as ADAS, sensor fusion, and in-vehicle infotainment across RTOS or embedded Linux environments.

• Develop and integrate low-level software to enable NPU accelerators on automotive-grade MCUs and MPUs;
• Integrate NPU functionality into existing BSPs and complex automotive software stacks, ensuring compliance with real-time and safety requirements;
• Work within automotive RTOS environments (such as AUTOSAR) and/or embedded Linux to support AI/ML workloads;
• Collaborate with hardware, AI/ML, and systems engineering teams to define and optimize accelerator usage;
• Conduct debugging, validation, and performance tuning on target automotive hardware;
• Ensure compliance with automotive safety standards (e.g., ISO 26262) and coding guidelines (e.g., MISRA C/C++).

• 3–5 years of experience in embedded software development using Embedded C/C++;
• Experience with NPU or AI accelerator integration in embedded systems;
• Proficiency in bare-metal/RTOS and/or embedded Linux (e.g., Yocto, Buildroot);
• Experience integrating software into large, layered automotive software stacks;
• Strong understanding of hardware-software interfaces, memory-mapped I/O, and DMA;
• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or related field.

• Experience with AI/ML inference frameworks (e.g., TensorFlow Lite, ONNX Runtime) in embedded automotive contexts;
• Knowledge of functional safety (ISO 26262), ASPICE, and MISRA compliance;
• Exposure to ADAS, sensor fusion, or Audio algorithms with AI/ML software stacks;
• Familiarity with CI/CD pipelines, version control (Git), and Agile development methodologies;
• Familiarity with DSP / HiFi5 / accelerator firmware/driver development, performance optimization, or multicore programming.

• Opportunities to grow through involvement in complex international projects;
• A collaborative environment with knowledge-sharing initiatives and technical communities;
• Meal vouchers as part of your monthly benefits;
• Private medical insurance, supporting your health and wellbeing;
• 25 days of annual paid leave under a full-time employment contract;
• Flexible working arrangements, aligned with project requirements and client environments;
• Access to technical training programs and professional development resources.

Ready to embed yourself in the future? Let’s partner with us to power what’s next!

*Please note that only suitable candidates will be contacted and that by applying to this role you are being informed about your personal data being processed by Avel Technologies.