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

What you'll do

• Design and develop software and firmware solutions for Cloud Edge and Data Center machine learning use cases.
• Develop board support packages (BSP) and device drivers for high-performance silicon.
• Implement secure boot designs and TrustZone architecture for embedded systems.
• Manage low-speed peripheral interfaces including I2C, SPI, and UART.
• Develop and debug low-level C code using JTAG, SWD, and GNU/LLVM tools.
• Implement efficient data movement using DMA and manage PCIe and memory interfaces.
• Perform unit testing for C development within an Embedded Linux environment.
• Contribute to technologies involving ML acceleration, process in memory, and virtualization.

What we're looking for

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of software engineering experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field with 1+ year of software engineering experience.
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with programming languages such as C, C++, Java, or Python.
• 2+ years of work experience with low-level C programming.
• Proficiency in C development including debug and testing using GNU/LLVM tools and JTAG/SWD on embedded platforms.
• Skilled in BSP development, device driver development, board bring-up, RTOS, secure boot, and TrustZone architecture.
• Experience with development and build tools for applications running within an Embedded Linux environment.
• Proficiency in unit testing for C development.
• Adept with RTOS fundamentals, SoC architecture, common hardware blocks, and multi-threaded programming.
• Experience with source code and configuration management tools such as git/Gerrit.
• Familiar with ML frameworks such as PyTorch, JAX, and Llama.cpp (preferred).
• Familiar with interfaces such as PCIe, LPDDR, USB, and UFS (preferred).
• Familiar with implementing Reliability, Accessibility, and Serviceability (RAS) through ECC and PCI AER fields (preferred).
• Familiar with low-speed interfaces such as I2C, SPI, SPMI, AVSBus, and PMBus (preferred).
• Familiar working with software running on Qualcomm’s QuRT RTOS (preferred).
• Familiar with on-chip Middleware for communication, logging, and power control (preferred).
• Experience working with microprocessor building blocks like execution levels, interrupt controllers, and timers (preferred).
• Experience with software development and debug tools including compilers, profilers, emulators, and logic analyzers (preferred).