6 часов назад
Architecture Modeling Engineer (AI)
120 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Architecture Modeling Engineer (AI): Developing transaction-level and cycle-accurate models for next-generation AI processors with an accent on throughput, latency, power, performance, and area analysis. Focus on building C++/SystemC hardware models, co-designing and co-verifying implementations, and investigating new processor architectures before and after silicon availability.
Location: Austin, TX or Palo Alto, CA; hybrid
Salary: $120,000–$225,000+ annually
Company
develops analog AI computing technology and next-generation AI processors for edge, cloud, data center, industrial, automotive, aerospace, and defense applications.
What you will do
- Architect and create transaction-level, cycle-accurate, and other hardware models.
- Build models that simulate custom AI software and predict how compiler-generated workloads will run on silicon.
- Develop prototype models to estimate power, performance, and area for new chip architectures.
- Create cycle-accurate hardware models using C++ and SystemC.
- Collaborate with engineering teams to co-design and co-verify hardware implementations.
- Investigate architectural concepts developed with other system components and use modeling to guide software optimization.
Requirements
- Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- 5+ years of experience creating performance models for architectural investigations; academic modeling work may count, and the requirement may be reduced for AI systems modeling experience.
- Academic and practical knowledge of CPUs, memory systems, bus interconnects, security, chip interfaces, and related hardware concepts.
- Proficiency with C++ and SystemC for hardware modeling.
- Experience with hardware performance and/or power modeling.
- Strong written and spoken communication skills.
Culture & Benefits
- Collaborative and respectful engineering environment.
- Tools, support, and autonomy to deliver results.
- Work alongside colleagues with diverse experiences and perspectives.
- Professionalism, creativity, integrity, and meaningful contribution are valued.
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