Senior Embedded Software Engineer (Cloud Edge & Data Center Machine Learning)

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm’s new Data Center Business Unit (BU) is looking for an experienced Senior Software Engineer to contribute to the design, development, and commercialization of software/firmware solutions for Cloud Edge and Data Center machine learning (ML) use cases running on premium-tier high-performance silicon. You will work closely with internal and cross-functional teams and contribute to the advancement of critical technologies such as ML acceleration, process in memory, memory management and virtualization. The candidate should have a background in embedded software development such as board support packages (BSP), device driver development, RTOS, secure boot, TrustZone technology, low-speed peripheral interfaces (I2C/SPI/UART), chipset power blocks, clock tree management, PCIe and efficient data movement using DMA.

2+ years of work experience with low level C programming Proficient with development in C including debug and testing, preferably using GNU/LLVM tools, on embedded platforms using stop-mode debug tools such as JTAG/SWD Skilled with BSP development including device driver development, board bring-up, RTOS, secure boot design & TrustZone architecture Experience with development and build tools for applications running within Embedded Linux environment Proficient with unit testing for C development Adept with RTOS fundamentals, SoC architecture (core, cache, memory, bus architecture, IOs, etc.), common hardware blocks and multi-threaded programming Experience with Source Code and Configuration management tools such as git/Gerrit Ability to work in a structured software development environment while contributing to novel designs Have willingness and flexibility to work as part of a high-caliber international/multi-site team Demonstrate excellent English communication skills (written and verbal) and positive interpersonal skills Preferred Qualifications Familiar with ML frameworks such as PyTorch, JAX and Llama.cpp Familiar with interfaces such as PCIe, LPDDR, USB and UFS Familiar with implementing Reliability, Accessibility and Serviceability (RAS) through use of technologies such as ECC & PCI AER fields Familiar with low-speed interfaces such as I2C, SPI, SPMI, AVSBus & PMBus Familiar working with software running on Qualcomm’s QuRT RTOS (ARM Cortex-A CPUs and Hexagon DSPs) Familiar with on-chip Middleware for communication, logging and power control, including Qualcomm’s Core SW Infra (e.g., Glink, QDSS, SOC power control algorithms such as DVFS, DCVS) Experience working with microprocessor building blocks like microprocessor execution levels, interrupt controller & timers Software development and debug tools including compilers, profilers, source control systems, emulators, JTAG and serial debuggers, and logic analyzers 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. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  disability-accomodations@qualcomm.com  or call Qualcomm's toll-free number found  here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our