Base Salary
$200k - $288k/yr
Responsibilities
- Design and build a multi-cloud capacity platform for CPU and GPU allocation, procurement, reservation lifecycle, and utilization.
- Own a canonical data layer that reconciles demand forecasts, provider supply signals, commitments, and fleet utilization.
- Integrate cloud-provider relationships and provisioning workflows into capacity planning and procurement systems.
- Build planning and allocation systems that identify hardware requirements and surface supply risks with real-time fleet and reservation visibility.
- Instrument CPU and GPU workload utilization, establish price/performance baselines, and recover stranded capacity through right-sized commitments.
- Evaluate new CPU and GPU generations and implement cross-family fallback and migration flexibility.
- Partner with core services, warehouse, AI/ML, and finance teams to forecast and procure capacity for launches and workloads.
- Maintain high availability, reliability, and performance through on-call rotations and incident management.
Requirements
- 7+ years of industry experience designing, building, and supporting large-scale production systems.
- Hands-on experience working with cloud providers to provision compute clusters and cloud services for CPU and/or GPU fleets.
- Experience with capacity planning, procurement, resource management, or efficiency work in large private or public clouds.
- Deep systems and architectural analysis experience across performance, availability, and efficiency of CPU and GPU fleets.
- Proficiency in Go, Python, or Java.
- Strong production troubleshooting, problem-solving, communication, and collaboration skills.
- BS or MS in Computer Science, Engineering, or a related field.
- Experience with observability infrastructure such as OpenTelemetry or Prometheus is preferred.
- Familiarity with accelerator/GPU fleets, hardware price/performance analysis, or Kubernetes-based compute at scale is preferred.
- Background in modeling, forecasting, cloud spend optimization, or LLMs is preferred.
Tech Stack
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.