Staff Machine Learning Engineer – Datacentre AI (Riyadh)

About the role

Qualcomm is looking for a Staff‑level Machine Learning Engineer to drive AI development for its data‑centre infrastructure in Riyadh. The role requires deep hands‑on experience with C++/Python AI development on Linux, high autonomy, and the ability to lead and mentor engineering teams while staying execution‑focused.

Key responsibilities

• Improve and optimise key deep‑learning models on Qualcomm AI 100.
• Develop deep‑learning framework extensions for Qualcomm AI 100 in upstream open‑source repositories.
• Collaborate with internal teams to analyse and optimise training and inference pipelines.
• Build software tools and an ecosystem around the AI software stack.
• Work on Triton, ExecuTorch, Inductor and TorchDynamo to create abstraction layers for inference accelerators.
• Optimise workloads for scale‑up (multi‑SoC) and scale‑out (multi‑card) systems.
• Integrate graph compiler optimisation throughout the deep‑learning pipeline.
• Apply software‑engineering best practices throughout development.

Required profile

• 8+ years of software engineering or related experience.
• Proven ability to work independently, define requirements and lead development efforts.
• Experience mentoring engineers through influence and example.
• Strong problem‑solving mindset with a research‑oriented approach.
• Bachelor’s, Master’s or PhD in Computer Science, Engineering, Machine Learning or a related field.

Required skills

• C++ and Python programming.
• Linux development environment.
• Deep‑learning expertise (LLMs, NLP, vision, audio, recommendation systems).
• Proficiency with PyTorch and JIT compilation.
• Open‑source development practices.
• CUDA and cuDNN.
• Experience with Triton, ExecuTorch, Inductor, TorchDynamo.
• Knowledge of Qualcomm AI 100 hardware and multi‑SoC/multi‑card scaling.