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Qualcomm
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Engineer, Cloud ML Accelerator

Engineer, Cloud ML Accelerator

Qualcomm

4 - 9 years

15 - 20 Lacs

bengaluru

Posted:6 days ago| Platform:

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Skills Required

c++ python kernel linux software engineering kernel mode driver programming software testing ecc embedded development ansible docker java rtos git configuration management tools devops soc design jenkins debugging doe

Work Mode

Work from Office

Job Type

Full Time

Job Description

General Summary:

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

4+ 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 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

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Engineer, Cloud ML Accelerator