Linux Driver Developer For Cloud ML Accelerator

Job Area: Engineering Group, Engineering Group > Software Engineering

General Summary:

About The Role :Qualcomm Cloud Team is looking for a Sr Lead Engineer for Linux device driver for Machine Learning use cases. The development target is Qualcomm high-performance inference accelerator AI 100 and related products.

The candidate will help work on developing code for Linux device drivers and help with upstreaming the code so experience with developing Linux Device drivers, Linux user-mode drivers would be beneficial.

Familiarity with development of functional simulation of SoC systems included bus subsystems, DMA, PCIe and peripherals, synchronization mechanisms such as semaphores as well as low speed peripherals will be beneficial.



Required Skills and Aptitudes

Experience with Linux kernel driver development, kernel modules, HWMon, sysfs and debugging techniques

Experience with embedded development in C.

Knowledge of RTOS, SoC architecture (core, cache, memory, bus architecture, IOs, etc.) and common hardware blocks

Experience with Source Code and Configuration management tools, git knowledge is required

Willingness to work in a structured software development environment with ability to work on low-level implementation (code & test)

Desirable Skills and Aptitudes

5+ years of relevant experience

Experience with Linux kernel PCIe stack.

Familiar with high speed interfaces such as PCIe and LPDDR

Familiar with implementing systems with high reliability expectations such as use of ECC, PCI AER fields.

Experience working with and familiarity with important SOC building blocks like interrupt controller & timers

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.


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