PLEASE NOTE:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.

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 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.
  

  LI-VL1

• 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.