11 часов назад
Software Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI/chip design): Building and scaling infrastructure for an end-to-end RTL-to-GDSII flow with an accent on reliable multi-stage execution, EDA tool integration, and production chip-design optimization. Focus on automating design analysis with AI, improving timing and routing outcomes, and balancing PPA, runtime, robustness, and delivery constraints.
Location: Palo Alto, United States; on-site
Company
Intelligence is a frontier AI lab building self-improving systems for chip design and connecting AI with the hardware development process.
What you will do
- Develop and scale infrastructure for an end-to-end RTL-to-GDSII flow.
- Build reliable systems for complex multi-stage design flows across EDA tools.
- Support hierarchical designs, advanced process nodes, and increasingly complex design constraints.
- Productize algorithms and improve the performance and scalability of production workflows.
- Analyze timing violations, congestion, routing issues, and other design metrics to improve PPA.
- Deploy AI-driven methods for design analysis, optimization, and iteration.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
- Strong programming skills in Python, C++, Java, or a comparable language.
- Working understanding of digital chip design from RTL through physical design and signoff.
- Experience integrating, automating, or orchestrating EDA tools in engineering workflows.
- Ability to own ambiguous technical problems, ramp up quickly, and deliver work to production.
- Comfort using modern AI-assisted development tools.
Nice to have
- Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field.
- Experience with EDA, semiconductor design, distributed systems, or optimization.
- Familiarity with placement, timing analysis, RC extraction, or netlist processing.
- Quantified experience demonstrating PPA benefits from AI/ML tooling, QoR prediction, or LLM-based flow automation.
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