Senior Staff Engineer – Model Accuracy & AI Performance

About the role

The Qualcomm AI team in Riyadh is looking for a Senior Staff Engineer to lead the design, optimization, and deployment of machine‑learning frameworks on Qualcomm AI platforms. This individual contributor role offers high autonomy, broad technical scope, and the chance to influence cross‑team initiatives that power AI, cloud, and advanced connectivity solutions.

Key responsibilities

• Research, design, develop, and enhance components of machine‑learning frameworks and graph optimizations for Qualcomm NPUs.
• Analyze software requirements, assess feasibility, and collaborate with architecture and hardware engineers to implement optimal solutions for Qualcomm SoCs.
• Identify and resolve system‑level integration issues, working closely with software development, integration, and test teams.
• Adapt latest Generative AI techniques for NPUs and architect new methods that leverage Qualcomm SOC architecture.
• Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration.

Required profile

• 12+ years of experience in Systems Engineering or a related field.
• Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related discipline.
• Proven ability to drive complex initiatives end‑to‑end with minimal supervision.

Required skills

• Hands‑on experience with machine‑learning frameworks such as PyTorch and TensorFlow.
• Strong knowledge of graph optimization techniques for performance and accuracy.
• Experience working with Qualcomm NPUs and System‑on‑Chip (SoC) architectures.
• Expertise in system‑level integration and cross‑functional collaboration.
• Solid background in Systems Engineering.