Director of Software Engineering (Compilers) Job at SBT, San Jose, CA

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  • SBT
  • San Jose, CA

Job Description

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.
  • 10+ years of experience in engineering leadership, with a proven track record of success in leading and delivering impactful AI projects.
  • Deep 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.

Potential relevant current (or past) companies for this Compiler position: AMD, Intel, Qualcomm, Cisco, Juniper, IBM, Google, Nvidia, Apple, Synopsys, Cadence, Meta, HPE, Broadcom, or other HW-SW/AI startups

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