System Software Architect, AI Hardware and Software Performance
Core
Design and build automation platforms that evaluate the performance and quality of accelerated computing workloads for large language models, agentic AI, and HPC clusters.
Role type
Senior System Software Architect (AI Hardware & Performance)
Builds
Scalable benchmark infrastructure, reusable software services, and automated workflows for performance evaluation.
Domain
AI Hardware, High-Performance Computing (HPC), Distributed Systems
Deliverable
production ML models
Required skills
System software architecture, distributed systems, Python, AI hardware performance analysis, cloud-native systems, quantitative analysis, technical leadership, cross-functional alignment, mentoring
Preferred skills
Modern compute hardware stack knowledge (silicon, networking, clusters), AI workload stress testing, custom agent harnesses, AI frameworks (vLLM, SGLang, TensorRT-LLM, PyTorch, JAX)
Responsibilities
Define technical direction and architecture for benchmark infrastructure, lead implementation of automated benchmark workflows, establish engineering approaches for reliability and scalability, perform hands-on AI benchmarking and analysis, lead delivery across team boundaries, raise engineering bar through code reviews and mentoring, contribute to open-source projects
Seniority
Senior, hands-on IC with technical leadership
