{"id":88288,"url":"https://alion.io/job/etched-performance-modeling-engineer","title":"Performance Modeling Engineer","company":{"id":5021,"name":"Etched","domain":"etched.com","url":"https://alion.io/company/etched","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":83,"ghost_share":0.12,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":142,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":370000,"currency":"USD","period":"year","gross":null,"usd_annual":370000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"TPU","optional":false}],"status":"live","first_seen_at":"2026-04-21T22:01:17Z","employer_posted_date":"2026-04-21","last_verified_at":"2026-10-29T05:29:28Z","board_verified":true,"closed_at":null,"days_open":190,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":190},"description":"About Etched\nEtched 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.\nKey responsibilities\nDevelop comprehensive performance models and projections for our architecture across varying workloads and configurations\n\nProfile and analyze deep learning workloads on our hardware to identify micro-architectural bottlenecks and influence optimization opportunities\n\nDrive hardware/software co-optimization by identifying where architectural features can unlock performance improvements\n\nRun regressions and validate performance models against real systems and silicon\n\nInform next-generation architectural decisions by pathfinding across system and silicon options during design, proof-of-concept, and architecting phases\n\nYou may be a good fit if you have at least one of the following:\nStrong performance modeling and analysis skills with experience building analytical-based or simulation-based performance models\n\nSolid understanding of computer architecture and micro-architecture, particularly for accelerators\n\nExperience profiling and analyzing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs, or others)\n\nSolid software engineering fundamentals with an eye toward auditability and maintainability\n\nStrong candidates may also have\nDeep knowledge of GPU architectures and/or programming models like CUDA\n\nExperience mapping models to multi-chip inference systems\n\nFamiliarity with transformer model architectures and inference serving optimizations\n\nExperience with architecture simulators and performance modeling tools (gem5, trace-driven simulators, custom models)\n\nExposure to ASIC, FPGA, or CGRA-based accelerator development and hardware/software co-design principles\n\nPublished research in computer architecture, ML systems, or hardware acceleration\n\nBenefits\nMedical, dental, and vision packages with generous premium coverage\n$500 per month credit for waiving medical benefits\n\nHousing subsidy of $2.5k per month for those living within walking distance of the office\n\nRelocation support for those moving to San Jose (Santana Row)\n\nVarious wellness benefits covering fitness, mental health, and more\n\nDaily lunch + dinner in our office\n\nUnlimited compute budget subject to ROI justification\n\nHow we’re different\nEtched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.\nWe are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. 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