The Software Engineer III position focuses on optimizing machine learning models for YouTube, specifically enhancing TPU efficiency. The role involves collaborating with ML model developers to design hardware-friendly architectures and improve algorithmic efficiency. Engineers will work on critical projects that impact how users interact with YouTube's recommendation system. This position requires a blend of software engineering skills and a deep understanding of machine learning frameworks.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in C++ or Python.
• 2 years of experience with software design and architecture.
• 2 years of experience testing and launching software products.
• Experience with ML model optimization.
• Experience with ML frameworks such as TensorFlow, JAX, and PyTorch.

• Profile ML workloads and optimize accelerator utilization to maximize compute efficiency.
• Implement and productionize algorithmic efficiency techniques, including low-precision quantization and knowledge distillation.
• Optimize auxiliary serving and distributed data pipelines to support real-time training and inference.
• Collaborate with ML model developers to co-design hardware-friendly model architectures.

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