SBT

Lead Software Engineer, Compilers (DSL)

San Francisco, CA, US

8 days ago
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Summary

SBT is the exclusive executive recruiting firm for this confidential position.


This confidential startup redefines AI accessibility through innovative software and hardware solutions. As one of the leading contributors, you will play a pivotal role in defining AI strategy and driving the development of advanced accelerator software. This position will oversee the entire AI technology stack, from conceptualization to implementation, ensuring that software development meets the highest standards of performance and efficiency.


Key Responsibilities


Compiler AI Strategy & Development

  • Develop and execute the strategic roadmap for compiler AI engineering, identifying key technology trends, opportunities, and challenges in the semiconductor industry
  • Drive the research, design, and development of AI-driven compiler technologies that optimize performance, power, and area for our semiconductor products
  • Collaborate with cross-functional teams, including architecture, design, and software engineering, to integrate compiler AI solutions into our product development pipeline


Hardware and Software Co-Development

  • Foster collaboration between hardware and software engineering teams to ensure seamless integration and optimization of compiler AI solutions with semiconductor designs.
  • Drive the development of co-design methodologies and workflows that enable tight integration between hardware and software groups
  • Lead cross-functional initiatives to co-develop hardware and software prototypes, proof-of-concepts, and reference designs that showcase the capabilities and benefits of AI-driven compiler technologies in real-world semiconductor applications


Qualifications

  • Advanced degree (Ph.D. preferred) in Computer Science, Electrical Engineering, or a related field
  • Deep expertise related to domain-specific languages is required
  • Experience in leading and building teams of compiler engineers for Machine Learning applications
  • Understanding of machine learning, deep learning, compilers, and other relevant AI algorithms
  • Passion for innovation and a commitment to develop AI ethically and responsibly
  • Proven ability to build and manage high-performing technical teams

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