Principal Engineer, AI Microarchitecture

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The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

Reports to:  Senior Director

What You’ll Do

• Define the micro-architecture, performance, and power specifications of AI accelerators
• Provide technical leadership in analyzing various trade-offs within a design space, considering different micro architectural choices and workloads.
• Communicate effectively with stakeholders, including industry experts, customers, users, partners, and management, to ensure that the systems are built to stakeholder expectation, delivered on time and within budget
• Drive development with hardware design and low-level software teams to ensure that the hardware and software infrastructure is built according to specifications
• Conduct research and development in emerging technologies and trends in Ai compute hardware
• Provide technical leadership and mentorship to hardware and software engineers

What You Bring

• BS in Computer/Electrical Engineering or Computer Science with 20+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 18+ years of relevant working experience or PhD and 15+ years of relevant working experience preferred.
• 10 years experience in driving design for high-performance computing processors.
• Experiences in being a lead contributor to AI accelerator chip designs that resulted in mass production
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

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When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

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