Embedded Software Engineer - Firmware for Machine Learning Accelerator

Overview

The Embedded Software Engineer - Firmware for Machine Learning Accelerator will develop firmware support for machine learning Edge and Datacenter use cases targeting Qualcomm’s next generation high-performance inference accelerator and server.

Key Responsibilities

• Develop board support packages and device drivers.
• Work with RTOS, secure boot, and trust-zone technologies.
• Implement low-speed peripheral interfaces (I2C, SPI, UART) and high-speed interfaces such as PCIe and DMA.
• Utilize IPMI, MCTP, PLDM, and BMC protocols.
• Perform unit testing in C/C++ and debugging using GNU/LLVM tools with JTAG/SWD.

Desired Skills & Experience

• Experience with BSP development, device driver bring-up, and multi-threaded programming.
• Solid knowledge of SoC architecture including cores, cache, memory, and bus architectures.
• Familiarity with peripheral driver development and debugging tools.
• Exposure to OpenBMC, Redfish APIs, Modbus, and SNMP is a plus.
• Good English communication and positive interpersonal skills.

Benefits & Additional Information

Qualcomm offers a competitive pay range, annual bonuses, RSU grants, and a comprehensive benefits package. Qualcomm is an equal opportunity employer and is committed to providing necessary accommodations during the application/hiring process.

Key Skills/Competency

Embedded, Firmware, Machine Learning, BSP, RTOS, PCIe, DMA, C/C++, Debugging, Drivers