{"id":16838,"url":"https://alion.io/job/etched-rtl-design-engineer","title":"RTL Design 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":85,"ghost_share":0.118,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":142,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Hardware","role_family":"Hardware","seniority":"senior","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":150000,"max":370000,"currency":"USD","period":"year","gross":null,"usd_annual":370000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"LLM","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2025-06-11T05:18:50Z","employer_posted_date":"2025-06-11","last_verified_at":"2026-11-02T19:38:29Z","board_verified":true,"closed_at":null,"days_open":509,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":509},"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.\nJob Summary\nAs an RTL Engineer at Etched, you will be critical in ensuring that our AI chips operate correctly and efficiently. You will develop and implement design verification strategies for both our existing and upcoming ASIC designs.\nIn this role, you will work closely with state-of-the-art architectures for machine learning. You do not need to have experience working with these yet, but you will be willing and able to learn quickly. You will work in a fast-paced environment with a high degree of autonomy, and be responsible for a key part of Etched’s success.\nRepresentative projects\nImplement a block to efficiently compute floating point math operators\n\nProvide feedback to the uArch team to make sure blocks meet timing and area constraints\n\nYou may be a good fit if you\nAt least 5 years of work experience in RTL development.\n\nExperience with high-speed digital logic.\n\nProficiency in standard RTL design and synthesis tools\n\nFamiliarity with verification work and writing test benches\n\nAre able to learn quickly about transformers and other aspects of modern artificial intelligence\n\nWilling to start quickly\n\nStrong candidates may also have experience with (Nice-to-have qualifications)\nExperience with PCIe, Ethernet, or HBM technologies\n\nFamiliarity with modern ML and LLM model architectures.\n\nFamiliarity with numerical representations and functions\n\nAbility to program with Python or another scripting language\n\nWe encourage you to apply even if you do not believe you meet every single qualification.\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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