Senior Embedded Software Engineer; Cloud Edge & Data Center Machine Learning

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Software Engineering

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, Trust Zone 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 & Trust Zone 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

• 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

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• 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 disabili or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide…