Performance Modeling Engineer

Posted: 2026-04-21

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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 our architecture across varying workloads and configurations

- Profile and analyze deep learning workloads on our hardware 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

You may be a good fit if you have at least one of the following:

- 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