Senior Embedded Software Engineer (Cloud Edge & Data Center Machine Learning)

What you'll do

• Design, develop, and commercialize software and firmware solutions.
• Contribute to technologies including ML acceleration, process in memory, memory management, and virtualization.
• Work with internal and cross-functional teams.

What they ask for

• 2+ years of work experience with low-level C programming; the qualifications also specify 2+ years of academic or work experience with a programming language such as C, C++, Java, or Python.
• Proficiency in C development, debugging, testing, and unit testing; embedded-platform development and stop-mode debug tools such as JTAG/SWD are specified.
• Skills in BSP and device-driver development, board bring-up, RTOS, secure boot, and TrustZone architecture.
• Experience with Embedded Linux development and build tools; RTOS fundamentals, SoC architecture, multithreaded programming, and Git/Gerrit are also specified.

Nice to have

• Familiarity with ML frameworks such as PyTorch, JAX, and Llama.cpp.
• Familiarity with interfaces including PCIe, LPDDR, USB, and UFS; Qualcomm QuRT RTOS and related on-chip middleware are also listed.

Pay

$117,800.00 - $176,600.00 (base salary)

Tools

C, GNU/LLVM, JTAG/SWD, Embedded Linux, git/Gerrit, PyTorch, JAX, Llama.cpp

AI focus

Develops embedded software and firmware for cloud edge and data center machine-learning use cases, contributing to ML acceleration and related technologies.