As a Senior Software Engineer on the EdgeTPU Compiler team at Google, you will focus on building next-generation compiler optimizations for machine learning models on custom hardware. This role involves bridging the gap between ML models and hardware execution, translating framework-level code into efficient instructions for the EdgeTPU. You will work on complex performance and correctness issues while collaborating with model owners to influence model design. The position requires versatility and leadership qualities to manage project deliverables and accelerate ML experiences on edge devices.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages such as C++.
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.
• 3 years of experience with compilers, including optimization and parallelization.

• Design and build ML compiler optimizations for EdgeTPU hardware.
• Triage, root-cause, and resolve complex correctness and performance issues.
• Propose, design, and implement robust compiler features and fixes.
• Partner closely with ML model owners to influence model architectures.
• Own project execution from end to end, managing priorities and deliverables.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.