Entry Level & Senior Software Engineer, AI Software Platform (Onsite)

What you'll do

• Develop in-house tools or research third-party toolchains and compilers for QAIRT and Genie to run generative AI models on Snapdragon platforms.
• Profile and benchmark system performance and memory for Edge-AI workloads across SoCs and operating systems.
• Test, analyze, and optimize machine-learning software performance and accuracy; debug issues and collaborate on scalable toolchains.

What they ask for

• Bachelor’s degree in a related field and 2+ years of relevant experience, or master’s degree and 1+ year of relevant experience, or PhD in a related field.
• Software tools development using C/C++/Python, compiler toolchains, and build systems.
• Experience with development on different OS/platforms and knowledge of low-level interactions between operating systems and hardware.
• Ability to collaborate across a globally diverse team and manage multiple interests; excellent communication skills.

Nice to have

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering; 1+ years building embedded software applications.
• Experience with Qualcomm AI Stack products, agile practices, and git-based SCM.

Pay

$140,800.00 - $211,200.00 USD (salary)

Tools

C/C++/Python, LLVM, GNU, Make/CMake, Android, Linux, QNX, Windows

AI focus

Develops software tools and toolchains to support generative AI inference on Snapdragon platforms, and profiles, benchmarks, validates, and optimizes Edge-AI performance and accuracy on embedded SoCs.