NPU Accelerator SW Engineer

About the Position

We are seeking a skilled NPU Accelerator SW Engineer to join our automotive software team in Bucharest, focusing on high-performance AI-enabled applications.

As a contractor, you will collaborate with our automotive software team, focusing on the enablement of Neural Processing Unit (NPU) accelerators in MCU and MPU-based platforms. This role is critical to delivering high performance, AI-enabled automotive applications such as ADAS (Advanced Driver Assistance Systems), sensor fusion, and in-vehicle infotainment. You will work within automotive RTOS or embedded Linux environments, integrating NPU support into existing Board Support Packages (BSPs) and large-scale, safety-critical software stacks.

Responsibilities

• 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 RTOS in automotive such as AUTOSAR and/or embedded Linux environments 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++).

Requirements

• Must have skills:

  • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or related field.
  • 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 baremetal/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.

• Any of the following are pluses:

  • 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 algorithm with AIML software stacks.
  • Familiarity with CI/CD pipelines, version control (Git), and agile development methodologies.
  • Familiarity with dsp/ HiFi5 /accelerator firmware/driver development, performance optimization, multicore or similar type of programming.

We Offer

• Competitive compensation package.
• Opportunity to work on cutting-edge automotive technologies.
• Collaborative and innovative work environment.

About the Company

Join our team and contribute to the development of next-generation automotive software solutions.