4 часа назад
Physical Design Engineer (AI Hardware)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Physical Design Engineer (AI Hardware): Implementing and verifying ASIC blocks for inference-focused frontier AI hardware with an accent on timing closure, PPA optimization, and RTL-to-GDSII design flows. Focus on optimizing advanced-node physical design, automating CAD and PD infrastructure, and closing power, performance, and area targets across complex chip designs.
Location: On-site in Austin, with regular time spent working alongside the team in San Jose. During the first quarter, approximately two weeks per month are spent at the San Jose headquarters; afterward, approximately one week per month.
Salary: $200,000–$300,000 per year plus significant equity.
Company
builds co-designed chips, racks, software, and manufacturing systems for high-throughput, low-latency frontier AI inference.
What you will do
- Own block-level physical design implementation, verification, and closure.
- Run and improve physical design flows while supporting ASIC and CAD infrastructure.
- Drive timing closure and power, performance, and area optimization in collaboration with RTL designers.
- Build dashboards to track physical design project convergence and improve iteration speed.
- Optimize EDA tool flows and work with vendors to adopt new capabilities.
- Supervise outsourced physical design work performed by third-party services.
Requirements
- 5–10+ years of physical design experience.
- Experience with RTL synthesis through GDSII sign-off and automated RTL-to-GDSII flows.
- Back-end design and timing closure experience on advanced process nodes of 5nm and below.
- Experience with Cadence Innovus or Genus, or Synopsys ICC2 or Fusion Compiler.
- Experience with sign-off tools such as PrimeTime, Tempus, or Voltus.
- Knowledge of low-power design, synthesis, scan insertion/ATPG, formal verification, floorplanning, placement, CTS, routing, IR drop, and EM/antenna analysis.
Nice to have
- Familiarity with modern ML and LLM model architectures.
- Python or another scripting language.
- Experience with AI tools for programming and coding.
- Startup experience or comfort working in fast-paced environments.
Culture & Benefits
- Medical, dental, and vision coverage with generous premium support.
- $500 monthly credit for waiving medical benefits.
- Wellness benefits covering fitness, mental health, and more.
- Daily lunch and dinner in the office.
- Unlimited compute budget subject to ROI justification.
- Technical staff contribute across engineering and research without strict boundaries.
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