Demo

Director of Software Engineering - Compilers

SBT CO. LTD
Alameda, CA Full Time
POSTED ON 4/13/2025
AVAILABLE BEFORE 5/12/2025

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

Join an innovative startup that is revolutionizing the accessibility of AI through cutting-edge software and hardware solutions. In this vital role, you will be instrumental in shaping the AI strategy and leading the development of advanced accelerator software. You will oversee the full AI technology stack, from conception to execution, ensuring that our software development exceeds the highest standards of performance and efficiency.

Key Responsibilities

Developing Compiler AI Strategy

  • Create and implement a strategic roadmap for compiler AI engineering, identifying pivotal technology trends and opportunities within the semiconductor industry.
  • Lead the research and development of AI-driven compiler technologies that enhance the performance, power, and area of our semiconductor products.
  • Work collaboratively with cross-functional teams, including architecture, design, and software engineering, to seamlessly integrate compiler AI solutions into our product development pipeline.

Co-Development of Hardware and Software

  • Encourage collaboration between hardware and software engineering teams to ensure the effective integration of compiler AI solutions with semiconductor designs.
  • Advance the methodologies and workflows for co-design, facilitating strong integration between hardware and software groups.
  • Lead initiatives to co-develop hardware and software prototypes, proof-of-concepts, and reference designs that highlight the advantages of AI-driven compiler technologies in real-world semiconductor applications.
  • Qualifications

  • Advanced degree (Ph.D. preferred) in Computer Science, Electrical Engineering, or related fields.
  • 10 years of engineering leadership experience, with a successful track record in delivering impactful AI projects.
  • In-depth knowledge of machine learning, deep learning, compilers, and relevant AI algorithms.
  • A genuine passion for innovation and a commitment to responsible AI development.
  • Demonstrated ability to build and lead high-performing technical teams.
  • Ideal candidates may have experience with leading companies in the industry such as AMD, Intel, Qualcomm, Cisco, Juniper, IBM, Google, Nvidia, Apple, Synopsys, Cadence, Meta, HPE, Broadcom, or similar HW-SW / AI startups.

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