Staff Engineer, Performance Modeling Architecture

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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.

What You’ll Do

• Model the architecture, performance, and power characteristics of AI accelerators
• Develop and optimize models to explore a large design space.
• Analyze various trade-offs within a design space, considering different architectural choices and workloads.
• Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users
• Conduct research and development in emerging technologies and trends in AI accelerators
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• BS in Computer/Electrical Engineering or Computer Science with 10+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 8+ years of relevant working experience or PhD and 5+ years of relevant working experience preferred.
• Strong background in computer architecture
• Experiences in developing and optimizing models for high-performance computing systems
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• 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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