Элитная роль в облачном гиганте с огромной зарплатой и прямым влиянием на будущее облачного железа. По сути, работа мечты для эксперта по производительности систем.
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TL;DR
Principal Software Engineer — Performance Engineering (Cloud Infrastructure) (AWS/Azure/GCP): Evaluating cloud hardware generations and building benchmarking, validation, and price/performance modeling infrastructure with an accent on CPU microarchitecture, memory bandwidth, I/O behavior, and capacity strategy. Focus on translating benchmark data into pricing and rollout decisions, automating day-zero hardware readiness, and leading cross-functional initiatives with cloud and silicon partners.
Location: Menlo Park, California, United States
Salary: $264K–$379.5K annually
Company
Snowflake develops cloud data infrastructure and is focused on enabling the agentic enterprise.
What you will do
Lead evaluation and enablement of new AWS, Azure, and GCP hardware instance types.
Set performance strategy, measurement methodology, and technical roadmap.
Build benchmarking, automated validation, scorecard, and performance-modeling infrastructure.
Analyze CPU microarchitecture, memory bandwidth, PMU counters, and I/O behavior to identify workload bottlenecks.
Translate benchmark results into pricing, capacity, rollout, and hardware-adoption recommendations.
Mentor engineers and lead technical partnerships with cloud providers and silicon vendors.
Requirements
12+ years of experience in performance, systems, or infrastructure engineering with principal-level technical leadership.
Deep cloud infrastructure performance expertise across AWS, Azure, or GCP, including instance types, pricing models, and capacity constraints.
Strong knowledge of CPU microarchitecture, memory bandwidth, I/O subsystems, and profiling tools such as PMU counters.
Experience building or operating large-scale benchmarking systems and connecting benchmark results to pricing or rollout decisions.
Ability to create quantitative models linking technical performance metrics to business outcomes.
Experience leading cross-functional and cross-company initiatives with cloud, hardware, or silicon partners.
Nice to have
Experience with data warehouse or distributed database performance.
Experience with early-access hardware programs involving cloud providers or silicon vendors.
AI-native, experimental, and data-driven working approach.
Opportunity to build performance engineering capabilities and company-wide education.
Opportunity to influence cloud hardware strategy and future instance designs.
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