Google's Core ML team is seeking a Director of Engineering for their ML Compiler division, offering an exceptional opportunity to shape the future of machine learning infrastructure. This role combines leadership in compiler development with machine learning expertise, requiring 15 years of industry experience and 10 years of team leadership. The position involves directing the development of cutting-edge ML compilers for Google's custom hardware architectures, including TPUs and GPUs.
The role sits at the intersection of research, product development, and hardware engineering, making it crucial for Google's AI infrastructure. The successful candidate will lead compiler optimization efforts that directly impact Google's AI frameworks like TensorFlow and JAX, while working on large-scale models such as Gemini. They will be responsible for building and mentoring a team of skilled compiler engineers, establishing technical direction, and fostering partnerships across different departments.
The compensation package is highly competitive, ranging from $294,000 to $414,000 base salary, plus bonus, equity, and comprehensive benefits. This position is based in Sunnyvale, CA, offering the opportunity to work with world-class engineers and researchers in Google's Core ML team. The role requires exceptional technical expertise in compiler development, machine learning optimization, and hardware acceleration, combined with strong leadership and communication skills.
The impact of this position extends beyond just compiler development – it's about shaping Google's hardware strategy and optimizing the performance of AI systems across the company. The director will play a crucial role in maximizing ROI for Google's AI investments and enabling all Google products to adopt Large Models effectively. This is an opportunity to influence important technical decisions across one of the world's leading technology companies while working on cutting-edge AI infrastructure.