Data Center AI Systems Engineer (Competitive Analysis) SA📣 Job Ad

About the Opportunity at Qualcomm

Qualcomm, a leading technology innovator, is seeking a Data Center AI Systems Engineer (Competitive Analysis) to join its team in Riyadh. This full-time role contributes to Qualcomm's mission of pushing technological boundaries to enable next-generation experiences and drive digital transformation for a smarter, connected future.

Role Purpose and Strategic Impact

The primary objective of this role is to evaluate, benchmark, optimize, and validate end-to-end AI inference solutions built on Qualcomm AI accelerators. The engineer will analyze real-world customer deployments, assess competitive platforms, and develop fact-based insights on performance, scalability, ecosystem readiness, and operational simplicity across modern GenAI workloads, including LLMs, VLMs, RAG, and agentic applications. This position is critical in identifying differentiators, gaps, and opportunities that shape Qualcomm's AI platform roadmap and customer engagement strategy, working collaboratively with architecture, product, systems, customer engineering, business development, and ecosystem teams.

Key Responsibilities

• Conduct end-to-end competitive analysis for Qualcomm AI inference accelerators across hardware, software, model-serving frameworks, deployment workflows, and customer-facing GenAI inference solutions.
• Evaluate real customer deployment patterns, including LLM/VLM serving, RAG, agentic workflows, embedding services, multi-model applications, and enterprise inference pipelines, to identify Qualcomm's competitive standing.
• Develop objective benchmark methodologies and execute performance studies covering latency, TTFT, TPOT, throughput, tokens/sec/user, concurrency, utilization, power efficiency, cost efficiency, and single-node and multi-node scaling.
• Compare Qualcomm solutions against competitive platforms such as NVIDIA and AMD across deployment maturity, model coverage, framework support, ecosystem readiness, operational simplicity, and total solution capability.
• Analyze inference architecture tradeoffs involving vLLM, Triton Inference Server, KServe, Ray Serve, Kubernetes, orchestration layers, KV-cache management, batching strategies, quantization, and distributed serving patterns.
• Drive model onboarding prioritization by studying competitive usage, customer demand, model popularity, framework adoption, and readiness gaps across open-source and enterprise GenAI workloads.
• Build and maintain reference architectures, deployment playbooks, sizing guidance, reproducible benchmark recipes, and customer-ready solution blueprints for Qualcomm AI inference platforms.
• Partner with architecture, compiler, runtime, framework, systems, and product teams to translate competitive findings into product requirements, roadmap priorities, optimization opportunities, and ecosystem investments.
• Perform system-level debugging and root-cause analysis across model, framework, runtime, driver, hardware, networking, memory, and orchestration layers to explain performance or deployment gaps.
• Create clear, fact-based competitive positioning, leadership readouts, technical reports, and customer-facing collateral that communicate differentiators, risks, gaps, and recommended actions.
• Collaborate with customer engineering, business development, sales, and partner teams to support customer evaluations, proof-of-concepts, competitive bakeoffs, and deployment activities.
• Stay current with the evolving AI inference ecosystem, including emerging models, serving frameworks, accelerator platforms, open-source projects, benchmarking practices, and enterprise deployment trends.

Required Qualifications and Experience

• A minimum of 10 years of professional experience in a relevant field, such as AI systems engineering, data center architecture, or competitive technical analysis.
• Demonstrated expertise in AI inference solutions, including hardware, software, frameworks, and deployment architectures.
• Strong analytical skills for evaluating performance, scalability, and operational aspects of AI platforms.
• Experience with GenAI workloads, LLMs, VLMs, RAG, and agentic applications.
• Proficiency in benchmarking methodologies and system-level debugging.

Benefits

Qualcomm offers a comprehensive benefits package, which includes:

• Salary, including housing and transport allowance.
• Stock (RSUs) and performance-related bonus.
• 16 weeks fully paid Maternity Leave.
• 6 weeks fully paid Paternity Leave.
• Employee stock purchase scheme.
• Child Education Allowance.
• Relocation and immigration support (if needed).
• Life and Medical Insurance.
• Live+ Well Reimbursement for health and recreational membership fees.

Application Process

Candidates interested in this full-time position are encouraged to apply.