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10 дней назад

Methodology Engineer (AI Hardware)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Methodology Engineer (AI Hardware): Building automation, verification tooling, and signoff reporting for chip development methodology with an accent on Python production tools, CI systems, and traceable verification evidence. Focus on enforcing engineering checks, managing waivers, integrating shared hardware verification infrastructure, and applying methodology standards to AI-generated code.

Location: Mountain View, California (HQ) or remote; hybrid work format

Company

hirify.global builds full-stack AI hardware and software, from silicon and rack design through compilers, kernels, and machine-learning models.

What you will do

  • Build and maintain linters, static checks, and schema-driven records that automate engineering rules.
  • Turn CI, regression, and verification results into signoff dashboards and reports.
  • Develop tooling for owned, justified, and current exceptions and waivers across tools and teams.
  • Develop and test shared verification libraries and flows for RTL, verification, and physical-design teams.
  • Apply methodology and evidence rules to AI-generated work and collaborate with the AI tooling team.
  • Review escaped bugs and false alarms, measure process costs, and improve checks and workflows.

Requirements

  • Production Python experience and comfort with a second language such as Rust.
  • Experience with GitHub Actions or a similar CI system, plus Bazel or another large-repository build system.
  • Experience working with a silicon team through at least one tapeout as a design, DV, CAD, or methodology engineer.
  • Understanding of lint, clock-domain-crossing checks, coverage, waivers, ECOs, and signoff.
  • Ability to distinguish useful process rules from rules that only slow engineering teams down, and to explain rules clearly.
  • Availability for occasional travel, with a few trips per year to meet teams in person.

Nice to have

  • Experience with formal verification, SystemVerilog Assertions, or DV methodology.
  • Experience with commercial lint, clock-domain-crossing, or formal tools and their report formats.
  • Experience with traceable-evidence processes such as DO-254 or ISO 26262.
  • Experience building dashboards or data pipelines from CI and regression results.
  • Experience building tools for or with AI coding agents, or familiarity with Bluespec or another high-level hardware description language.

Culture & Benefits

  • Hybrid work with up to 3 weeks of remote work, four weeks of accrued PTO, and 12 company holidays.
  • Company-subsidized medical, dental, vision, life, disability, HSA, and FSA benefits.
  • 5% company 401(k) contribution, professional development budget, and remote home-office setup support.
  • Onsite team meals, commute reimbursement, cellular and internet reimbursements, and flexible employee perks.
  • Paid parental leave, family support funding, and company-paid mental health benefits.
  • Employment is subject to compliance with U.S. export-control laws and the applicant's ability to perform the role without obtaining an export-control license.

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