Work together with our partners and customers to identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems.
Complete and maintain robust performance benchmarking suites to stress-test high-performance clusters and establish performance baselines.
Apply industry-standard performance tools to monitor hardware performance counters and extract deep system telemetry.
Deeply investigate system and software configurations to find and fix subtle discrepancies that impact peak performance.
Partner closely with internal engineering units and outside collaborators and customers to collectively develop solutions and boost infrastructure performance.

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
8+ years of work-related experience in the high-tech industry, particularly in system build, performance analysis, and technical customer-facing roles.
A strong understanding of how CPUs, GPUs, and high-speed networking fabrics interact within massive clusters.
Practical experience with performance counters, profiling tools, and telemetry collection systems (e.g., Perf, eBPF, Prometheus, Grafana).
Practical experience working with containers, cloud provisioning, and scheduling tools such as Docker, Docker Swarm, Kubernetes, SLURM, Ansible.
Proven track record of transforming raw logs and telemetry into structured time series data, dashboards, and heat maps.
The ability to translate complex, low-level technical performance anomalies into clear, actionable narratives for cross-functional teams.
Strong collaborative skills and a proven history of building successful relationships across diverse engineering and operations teams.

Senior Solutions Architect, AI Cluster Performance, Telemetry

Key skills