Performance Engineer

About Etched

Etched is building the world’s first AI inference system purpose-built for transformers – delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real‑time video generation models and extremely deep & parallel chain‑of‑thought reasoning agents. Backed by hundreds of millions from top‑tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

• Develop comprehensive performance models and projections for Sohu’s transformer‑specific architecture across varying workloads and configurations
• Profile and analyze deep learning workloads on Sohu to identify micro‑architectural bottlenecks and influence optimization opportunities
• Drive hardware/software co‑optimization by identifying where architectural features can unlock performance improvements
• Run regressions and validate performance models against real systems and silicon
• Inform next‑generation architectural decisions by pathfinding across system and silicon options during design, proof‑of‑concept, and architecting phases

• Strong performance modeling and analysis skills with experience building analytical‑based or simulation‑based performance models
• Solid understanding of computer architecture and micro‑architecture, particularly for accelerators
• Experience profiling and analyzing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs, or others)
• Solid software engineering fundamentals with an eye toward auditability and maintainability

• Deep knowledge of GPU architectures and/or programming models like CUDA
• Experience mapping models to multi‑chip inference systems
• Familiarity with transformer model architectures and inference serving optimizations
• Experience with architecture simulators and performance modeling tools (gem5, trace‑driven simulators, custom models)
• Exposure to ASIC, FPGA, or CGRA‑based accelerator development and hardware/software co‑design principles
• Published research in computer architecture, ML systems, or hardware acceleration

• Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
• Housing subsidy of $2k per month for those living within walking distance of the office
• Relocation support for those moving to San Jose (Santana Row)
• Various wellness benefits covering fitness, mental health, and more
• Daily lunch + dinner in our office
• Unlimited compute budget subject to ROI justification