Staff Engineer, System Design Engineering

Responsibilities

• Design & Validate AI Infrastructure for Benchmarks
• Analysis of Benchmarks for End-to-end AI Infrastructure and develop test environment for Benchmark tests
• Define and Perform Benchmark tests for AI workloads on storage systems
• Evaluate GPU vs CPU vs storage bottlenecks in AI pipelines
• Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models
• Design Benchmarks for Vector DB & KV cache
• Optimize Data pipelines for Inference and training
• Analyze Benchmark results, document and publish with recommendations
• Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure
• Work with cross-functional teams for POC and architecture discussions for validation infrastructure

Qualifications

• Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience.
• Experience with different Operating Systems (Windows, Linux, VMware).
• Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required.
• AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics
• Experience in Performance & Benchmarking – profiling tools, system bottlenecks
• Debugging knowledge on performance bottlenecks in AI pipelines
• Experience in deriving data movement costs on Edge platforms