Cloud Machine Learning Engineer

Responsibilities

• Improve and optimize key Deep Learning models on Qualcomm AI 100
• Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
• Collaborate with internal teams to analyze and optimize training and inference for deep learning
• Build software tools and ecosystem around the AI SW Stack
• Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators
• Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
• Optimize the entire deep learning pipeline, including graph compiler integration
• Apply software engineering best practices to all development tasks

Requirements

• Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field
• 2+ years of Software Engineering or related work experience
• Proficiency in C++ or Python programming and software design
• Strong knowledge of Deep Learning (LLMs, NLP, Vision, Audio, or Recommendation systems)
• Strong proficiency in PyTorch and JIT

Preferred Qualifications

• Experience running workloads on large-scale heterogeneous clusters
• Knowledge of compiler technology
• Hands-on experience with CUDA and CUDNN
• Experience with open-source development practices

Benefits

• Competitive salary including housing and transport allowance
• Stock (RSUs) and performance-related bonuses
• 16 weeks fully paid Maternity Leave and 6 weeks fully paid Paternity Leave
• Employee stock purchase scheme
• Child Education Allowance
• Relocation and immigration support
• Life and Medical Insurance
• Live+ Well Reimbursement for health and recreational memberships

About the Company

Qualcomm is a global leader in wireless technology and semiconductor innovation. As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world-class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale.