AI Performance Engineer (Competitive & Network Analysis) SA📣 Job Ad

Qualcomm's Presence in Riyadh

Qualcomm is expanding its operations in Riyadh, Saudi Arabia, to support the Kingdom's digital transformation initiatives under Vision 2030. The company is investing in world-class computing and data center capabilities designed to power advancements in AI, cloud technologies, and advanced connectivity. This expansion provides an opportunity to contribute to a developing technology hub, supporting critical environments and influencing the future of data center operations in the region.

About the AI Performance Engineer Role

Qualcomm's Cloud AI team is seeking AI Performance Engineers to join its full-time operations in Riyadh. This role is central to Qualcomm's focus on digital wireless technologies and its involvement in the evolution of Cloud AI, including investments in Deep Learning. The position covers the full product lifecycle, from research and development to commercial deployment of hardware and software solutions for Inference Acceleration. Candidates should possess 2-5 years of relevant experience.

Key Responsibilities

• Convert, optimize, and deploy models for efficient inference using PyTorch and ONNX.
• Analyze advanced Generative AI algorithms, such as attention mechanisms and Mixture-of-Experts (MoEs), and numerics to identify optimization opportunities.
• Perform performance analysis and optimization of Large Language Models (LLM), Vision-Language Models (VLM), and diffusion models for inference, scaling performance to meet throughput and latency constraints.
• Map next-generation AI workloads onto current and future hardware designs.
• Collaborate with customers and internal compiler, firmware, and platform teams to drive solutions.
• Analyze complex performance or stability issues to determine the root cause of underlying problems.
• Create engineering solutions to provide continuous insights into AI workload performance, guiding improvements over time.
• Design and implement high-level kernels, such as in Triton, with a focus on generating efficient, low-level code.

Required Experience and Skills

This role requires 2-5 years of professional experience in a related field. Candidates should demonstrate a strong foundation in AI/ML concepts and practical application of optimization techniques.

Candidate Attributes

Successful candidates will possess strong communication and problem-solving skills. The ability to learn new technologies and work effectively within a fast-paced, collaborative team environment is essential for this position.

Work Setting

This is a full-time position based in Riyadh, Saudi Arabia, within a dynamic and collaborative team environment focused on advancing Cloud AI technologies.