4 часа назад
Lead Frontend Design Engineer (AI Chips)
175 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Frontend Design Engineer (AI Chips): Designing and integrating RTL for Cerebras Wafer Scale Engine chips with an accent on high-performance, power-efficient architectures, third-party IP integration, and PPA optimization. Focus on managing ASIC vendors, closing designs with physical design and verification teams, integrating high-speed I/O, and debugging silicon-level functional, timing, and power issues.
Location: Headquarters/Sunnyvale Office, United States; on-site
Salary: $175,000–$275,000 annually, plus potential bonus and equity.
Company
Systems develops wafer-scale AI processors and high-speed computing systems for AI model training and inference.
What you will do
- Drive chip design from functional specification and micro-architecture through RTL development and synthesis.
- Manage an external ASIC vendor throughout the product development cycle.
- Collaborate with physical design teams to achieve power, performance, and area goals.
- Work with design verification and DFT teams to maximize functional and test coverage.
- Partner with software and systems teams to optimize product performance and feature sets.
- Debug functional, timing, and power issues during silicon bring-up.
Requirements
- Master’s degree in Computer Science, Electrical Engineering, or an equivalent field.
- 8–15 years of experience delivering complex, high-performance RTL designs.
- Experience with front-end chip integration, third-party IP integration, and high-speed I/O design.
- Multiple successful silicon deliveries and experience collaborating with and managing external vendors.
- Networking experience with TCP/IP, RDMA, and Ethernet, plus knowledge of PCIe, CPU interfaces, and SerDes technology.
- Working knowledge of Python and TCL scripting tools.
Nice to have
- Experience with FPGA development toolchains, including place and route, floorplanning, and timing analysis.
Culture & Benefits
- Build a wafer-scale AI platform designed to go beyond GPU limitations.
- Work on one of the fastest AI supercomputers in the world.
- Opportunities to publish and open-source AI research.
- Startup vitality combined with job stability.
- Non-corporate culture focused on individual respect, continuous learning, growth, and inclusion.
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