Qualcomm
Senior System Performance Engineer - Data Center/AI
$130K–$194K
San Diego, California · On-site · Senior · Full-time · Posted Sep 22, 2026
- Experience
- 4+ years of practical post-silicon experience in power and performance analysis of complex SoCs.
- Education
- Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
About the job
Analyzes and optimizes power, performance, thermal behavior, and scalability of AI, HPC, and datacenter systems across hardware and software platforms.
What you'll do
- Profile and analyze AI/ML, HPC, and concurrent workloads; execute power and performance analyses.
- Identify bottlenecks and root causes, validate performance, and recommend system-level optimizations.
- Collaborate across teams, develop analysis automation, and communicate findings through reports and technical guidance.
What they ask for
- Strong programming and scripting skills (Python, C/C++).
- Strong understanding of memory hierarchy, cache systems, and high-performance system interconnects.
- Understanding of ARM SoC concepts, performance-analysis methods, and power/performance monitoring.
- Strong computer architecture and hardware fundamentals.
Nice to have
- Knowledge of modern AI/ML and Large Language Model (LLM) workloads and their performance characteristics.
- Familiarity with distributed computing, AI infrastructure, and datacenter system concepts.
Pay
$129,500.00 - $194,300.00 (base salary)
Tools
Python, C/C++, ARM, SMMU, GIC, Coresight-PMU
AI focus
Profiles and analyzes AI/ML and LLM workloads, evaluates emerging AI/ML and datacenter workloads, and identifies system optimization opportunities.
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