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Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $180k

$118k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,075–$208,800.

Based on 239 similar postings.

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About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 660 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

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At a glance

TL;DR · Careers

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Qualcomm’s Data Center Business Unit seeks a Senior Embedded Software Engineer to join their team in developing advanced software/firmware solutions for Cloud Edge and Data Center machine learning applications. This role involves working closely with internal teams to design, develop, and commercialize cutting-edge technologies such as ML acceleration and memory management. Day-to-day responsibilities include BSP development, device driver creation, secure boot implementation, and efficient data movement using DMA, all while leveraging C programming in embedded platforms. Candidates should be proficient in GNU/LLVM tools, familiar with RTOS fundamentals, SoC architecture, and multi-threaded programming, and experienced with build tools for Embedded Linux environments. Knowledge of ML frameworks like PyTorch and JAX is a plus, as well as familiarity with interfaces such as PCIe and low-speed peripherals including I2C and SPI.

Skills

C GNU/LLVM BSP RTOS TrustZone I2C SPI UART PCIe DMA git Gerrit PyTorch JAX Llama.cpp LPDDR USB UFS ECC PCI AER AVSBus PMBus QuRT Glink QDSS DVFS DCVS interrupt controller timers compilers profilers source control systems emulators JTAG serial debuggers logic analyzers

What you'll do

Develop embedded software for Cloud Edge and Data Center machine learning use cases.
Design and implement board support packages (BSP) and device drivers for high-performance silicon.
Proficient in secure boot design, TrustZone architecture, and RTOS fundamentals.
Write efficient code using C with GNU/LLVM tools on embedded platforms.
Manage low-speed peripheral interfaces like I2C/SPI/UART and PCIe for data movement.
Contribute to the development of ML acceleration technologies and memory management solutions.

What we're looking for

Proficient in C programming using GNU/LLVM tools for embedded platforms.
Experienced in BSP development including device drivers and secure boot design.
Skilled in RTOS fundamentals, SoC architecture, and multi-threaded programming.
Familiarity with interfaces like PCIe, LPDDR, USB, UFS, I2C, SPI, SPMI.
Experience with ML frameworks such as PyTorch, JAX, and Llama.cpp.
Knowledge of reliability and serviceability technologies including ECC and PCI AER fields.
Ability to work effectively in a structured software development environment.

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