Staff Embedded Software Engineer, Cloud Edge and Data Center Machine Learning

Qualcomm•San Diego, CA

About The Position

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.

Requirements

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
4+ years of work experience with low level C programming
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Nice To Haves

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