This role pays less than
87%
of similar roles. Most pay
$163,500–$229,468
— the shaded band above.
At the midpoint, this role pays about
$147k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
564 open roles
on FindRole.
Listed pay typically runs
$152,130–$222,500
across 550 roles with salary data.
As a Senior Embedded Software Engineer (Cloud Edge & Data Center Machine Learning), you will join the Data Center Business Unit to design, develop, and commercialize software and firmware solutions for machine learning use cases on high-performance silicon. You will work with cross-functional teams to advance critical technologies including ML acceleration, process in memory, memory management, and virtualization. Your daily responsibilities involve developing board support packages, device drivers, and RTOS features while managing secure boot and TrustZone architecture. The role requires proficiency in C programming using GNU/LLVM tools, JTAG/SWD debuggers, and Git/Gerrit for configuration management. You will work with hardware blocks like PCIe, I2C, SPI, and DMA to ensure efficient data movement. Relevant technical expertise includes experience with Embedded Linux, multi-threaded programming, and familiarity with ML frameworks such as PyTorch, JAX, and Llama.cpp.
What does a Embedded Software Engineer earn in California?
Median $176950 from 36 postings across 12 companies.
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 memory management, virtualization, and efficient data movement using DMA.
Perform low-level C programming including debugging and testing on embedded platforms using JTAG/SWD tools.
Develop software for Embedded Linux environments and manage multi-threaded programming.
Implement Reliability, Accessibility, and Serviceability (RAS) features using technologies like ECC and PCI AER.
Manage hardware blocks such as PCIe, LPDDR, I2C, SPI, and power control algorithms.
What we're looking for
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of experience, OR a Master's degree with 1+ year of experience, OR a PhD.
At least 2 years of academic or work experience with programming languages such as C, C++, Java, or Python.
Minimum 2 years of work experience with low-level C programming including debug and testing on embedded platforms using JTAG/SWD tools.
Skilled in BSP development, device driver development, board bring-up, RTOS, secure boot design, and TrustZone architecture.
Proficient in multi-threaded programming, SoC architecture (core, cache, memory, bus), and experience with Embedded Linux build tools.
Experience with source code and configuration management tools such as git/Gerrit.
Familiar with ML frameworks like PyTorch, JAX, and Llama.cpp (preferred).
Familiar with hardware interfaces including PCIe, LPDDR, USB, UFS, I2C, SPI, SPMI, AVSBus, and PMBus (preferred).