semiconductors
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++).
To ensure your success in this role, the following experience is needed:
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
