Principal Engineer, AI/ML Software Compiler

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What You’ll Do

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: VP

• Design and implement ML compilers for high-performance deep learning applications.
• Optimize compilers for efficient execution of deep learning models on various hardware platforms.
• Design a staged lowering infrastructure to meet rapidly evolving workload requirements effectively.
• Design an algorithm to optimize data locality to minimize energy consumption.
• Work closely with hardware architects and developers to integrate new ML techniques and algorithms into the compiler.
• Collaborate with cross-functional teams to define and deliver ML compiler features and improvements.
• Troubleshoot and debug compiler issues, and provide technical support to customers.
• Contribute to the development of ML compiler documentation and user guides.
• Stay up-to-date with the latest trends and advancements in the field of ML compilers and hardware.

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.
• Strong background in compiler design and optimization techniques.
• Experiences in developing and optimizing software for high-performance computing systems
• Experiences in LLVM / MLIR (preferred)
• Familiarity with PyTorch, Tensorflow, or JAX.
• Familiarity with hardware architectures such as CPUs, GPUs, TPUs, and NPUs.
• 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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