Head of Inference Performance Visibility

Highlights

• Define how performance is understood across next-generation AI accelerator systems.
• Co-design chips, racks, and software to maximize inference throughput and latency.
• Build cluster-scale analysis for distributed inference across data center networks.

What they offer

• Medical, dental, and vision packages with generous premium coverage
• $500 per month credit for waiving medical benefits
• $2.5k per month housing subsidy for those living within walking distance
• Relocation support for those moving to San Jose
• Wellness benefits covering fitness, mental health, and more
• Daily lunch and dinner in office
• Unlimited compute budget subject to ROI justification
• Significant equity

Ideal candidate

Systems thinker who lives at the hardware-software boundary and loves turning raw signals into clear insight. You have built observability from scratch and want to define performance intelligence for frontier AI.

Requirements

• Deep experience building complex systems at the intersection of hardware and software
• Personally envisioned and built significant portions of profiling, tracing, or observability systems
• Demonstrated ability to translate raw hardware signals into scalable telemetry and analysis infrastructure
• Experience correlating time-series events across distributed systems
• Deep systems programming expertise in C++ or Rust shipping low-level infrastructure
• Experience designing distributed correlation, timestamp-alignment, or performance modeling frameworks
• Experience designing distributed tracing or observability platforms at scale
• Experience with high-performance computing systems and large AI clusters
• Experience with hardware counter design and instrumentation strategy
• Experience with performance modeling for large-scale ML workloads
• Experience leading cross-functional architectural initiatives spanning hardware and software