обновлено 2 месяца назад
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration Team - Annapurna Labs (AI)
183 000 - 247 600$
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Описание вакансии
Текст:
TL;DR
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration Team - Annapurna Labs (AI) (SystemVerilog/RTL): Designing and optimizing high-performance, power- and area-efficient RTL for AWS machine-learning accelerator SoCs with an accent on microarchitecture, subsystem integration, and design quality. Focus on building synthesis- and timing-clean designs, analyzing performance/power/area trade-offs, and solving clock, reset, CDC, lint, and RTL debug challenges.
Location: Cupertino, California, USA
Salary: $183,000–$247,600 USD annually, plus sign-on payments and restricted stock units.
Company
Web Services develops cloud platforms, custom silicon, machine-learning accelerators, and supporting software stacks.
What you will do
- Implement and deliver high-performance, power- and area-efficient SystemVerilog RTL for AWS machine-learning accelerator SoCs.
- Integrate subsystems into top-level SoCs, including clock, reset, functional, and DFT signal routing.
- Develop microarchitectures and analyze performance, power, area, and feature trade-offs.
- Deliver synthesis- and timing-clean designs with constraints and perform lint and clock-domain-crossing checks.
- Debug RTL test failures and collaborate with architects, verification, validation, synthesis, timing, and back-end engineering teams.
Requirements
- Bachelor’s degree in Electrical Engineering or a related field.
- 5+ years of RTL design for SoCs and 5+ years of VLSI engineering experience.
- 5+ years of experience with code-quality tools such as SpyGlass, lint, or CDC tools.
- Experience with SystemVerilog RTL, microarchitecture, assertions, SDC constraints, and RTL debug.
- Python scripting experience and strong analytical, problem-solving, and communication skills.
Nice to have
- Master’s degree in electrical engineering, computer engineering, or an equivalent field.
- Full-chip and subsystem integration experience in semiconductor design.
- Experience with datapath design, interconnects, and the AXI protocol.
Culture & Benefits
- Knowledge-sharing, mentorship, and thorough code reviews support engineering growth.
- Flexible working culture focused on work-life harmony.
- Employee-led affinity groups, inclusion events, and learning opportunities.
- Health, dental, vision, prescription, life, and mental-health benefits.
- 401(k) matching, paid time off, parental leave, and adoption and surrogacy reimbursement.
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