Software Engineer III, ML Compiler, Infrastructure

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 2 years of software development experience in C++.

Nice to haves:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
• Knowledge of low-level optimization on GPU, as well as basic compiler knowledge.

What you'll be doing:

• Improve the code quality, architecture and testability of the codebase.
• Work towards a better separation of runtime and compile time functionality in XLA:GPU.
• Integrate external libraries such as NVIDIA’s cuDNN in google3 and XLA, and keep them up to date.
• Maintain and extend infrastructure and tools to improve the compiler's reliability and team velocity.

Perks and benefits:

• Opportunity to work on projects critical to Google's needs with potential to switch teams and projects.
• Versatile work on various tech stacks and opportunities for professional growth.
• Global collaboration fostering a diverse and inclusive work culture.