10 часов назад
Senior AI SoC Modeling Engineer (AI)
193 300 - 261 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI SoC Modeling Engineer (C++/SystemC): Building high-fidelity functional and performance models for custom machine learning accelerator SoCs, including compute engines, memory hierarchies, interconnects, and data paths, with an accent on RTL correlation and pre-silicon validation. Focus on translating architecture specifications into accurate C++ models, quantifying system-level hardware tradeoffs, and developing scalable simulation and regression infrastructure.
Location: Cupertino, California, or Austin, Texas, USA
Salary: $168,100–$227,400 annually in Austin, or $193,300–$261,500 annually in Cupertino, plus sign-on payments and RSUs.
Company
Web Services develops Trainium and Inferentia machine learning accelerator chips for large-scale ML clusters.
What you will do
- Develop and maintain high-fidelity C++ functional models of AI/ML accelerator SoCs and subsystems.
- Model compute engines, memory hierarchies, on-chip interconnects, and data paths based on architecture specifications and RTL behavior.
- Validate models against RTL simulations, emulation platforms, and silicon measurements, driving high-fidelity correlation.
- Integrate models into pre-silicon verification environments and identify architectural issues early.
- Collaborate with architects, RTL designers, ML software engineers, compiler engineers, and design verification teams on hardware decisions.
- Build cycle-approximate performance models, simulation frameworks, regression suites, automated correlation checks, and coverage-driven validation flows.
Requirements
- 6+ years of full software development lifecycle experience, including coding standards, code reviews, source control, builds, testing, and operations.
- 6+ years building functional or performance models for SoCs, ASICs, GPUs, CPUs, or IP blocks.
- Advanced C++ programming experience.
- Knowledge of SoC, CPU, GPU, and/or ASIC architecture and microarchitecture.
- Experience mentoring, serving as a technical lead, or leading an engineering team.
- Experience with verification concepts or pre-silicon validation environments.
Nice to have
- Experience with design verification teams, RTL correlation, emulation, or silicon validation.
- SystemC, TLM, or cycle-approximate modeling experience.
- Experience developing performance models for custom silicon.
- Experience building regression and CI frameworks, or working with multithreaded and distributed simulation.
- Knowledge of machine learning accelerator architecture and Modern C++20 or later.
Culture & Benefits
- Work on a small, high-ownership team supporting strategic AWS silicon programs.
- Models directly support chip design, verification, and production readiness.
- Opportunity to expand into architectural performance modeling and influence hardware design decisions.
- Health, dental, vision, prescription, life, AD&D, EAP, and mental health benefits.
- 401(k) matching, paid time off, parental leave, and adoption and surrogacy reimbursement.
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