Performance Modeling Engineer

About EtchedEtched 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.Key responsibilitiesDevelop comprehensive performance models and projections for our architecture across varying workloads and configurationsProfile and analyze deep learning workloads on our hardware to identify micro-architectural bottlenecks and influence optimization opportunitiesDrive hardware/software co-optimization by identifying where architectural features can unlock performance improvementsRun regressions and validate performance models against real systems and siliconInform next-generation architectural decisions by pathfinding across system and silicon options during design, proof-of-concept, and architecting phasesYou 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 modelsSolid understanding of computer architecture and micro-architecture, particularly for acceleratorsExperience 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 maintainabilityStrong candidates may also haveDeep knowledge of GPU architectures and/or programming models like CUDAExperience mapping models to multi-chip inference systemsFamiliarity with transformer model architectures and inference serving optimizationsExperience 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 principlesPublished research in computer architecture, ML systems, or hardware accelerationBenefitsMedical, dental, and vision packages with generous premium coverage$500 per month credit for waiving medical benefitsHousing subsidy of $2k per month for those living within walking distance of the officeRelocation support for those moving to San Jose (Santana Row)Various wellness benefits covering fitness, mental health, and moreDaily lunch + dinner in our officeUnlimited compute budget subject to ROI justificationHow we're differentEtched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. #J-18808-Ljbffr