Staff/Sr Staff System AI Performance Engineer
Architecture, product management, SW teams) to enable an implementation strategy that meets system requirements. Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Thorough understanding of E2E system KPI dependency e.g. power, performance and TCO of emerging AI workloads mixture-of-experts (MoE), multi-tenant vector databases, multimodal physical AI. Great knowledge of state-of-art workloads across multiple BUs. Master's or Ph.D. in Electrical Engineering, Computer Science, or a related field Exceptional creativity to innovate new ideas and develop innovative products/ processes without established objectives or known parameters. Verbal and written communication skills to convey highly complex and/or detailed information. Will require strong negotiation and influence with large groups or high-level constituents Ability to work independently and as part of a team Most tasks do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach Deductive and inductive problem solving is required; multiple approaches may be taken/necessary to solve the problem; often information is missing or conflicting; advanced data analysis and interpretation skills are required. Keywords: LLM, Computer Architecture, Performance Analysis Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
