Principal Engineer, Cloud ML Compute Systems

Google Cloud is seeking a Principal Engineer to join their team in a crucial role focused on machine learning optimization and performance enhancement. This position combines deep technical expertise with customer-facing responsibilities, making it an ideal opportunity for seasoned engineers passionate about ML systems.

The role involves leading critical initiatives to optimize machine learning models for Google Cloud's customers, working at both software and hardware levels. You'll be at the forefront of performance optimization, working with cutting-edge technologies including GPUs, TPUs, and various ML frameworks like PyTorch, JAX, and TensorFlow.

As a Principal Engineer, you'll be responsible for developing and implementing sophisticated optimization strategies, writing custom kernels, and creating bespoke solutions to meet specific customer requirements. The position requires a unique blend of technical depth in ML systems, performance optimization, and strong communication skills to effectively collaborate with customers and internal teams.

Google Cloud's position as a leader in cloud computing and ML infrastructure makes this an exceptional opportunity to impact the industry at scale. The role offers competitive compensation, including a substantial base salary range of $278,000-$399,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate will bring 15+ years of software engineering experience, with deep expertise in ML frameworks, hardware accelerators, and performance optimization. You'll be joining a company known for its cutting-edge technology and commitment to innovation, working on solutions that help organizations across 200+ countries transform their businesses.

This role is perfect for someone who enjoys tackling complex technical challenges while having a direct impact on customer success. You'll be working in Sunnyvale, CA, at the heart of Silicon Valley, collaborating with some of the industry's best minds in machine learning and cloud computing.

If you're passionate about optimizing ML systems, have a track record of technical leadership, and want to work on technology that shapes the future of cloud computing and machine learning, this role offers an exceptional opportunity to advance your career while making a significant impact.