3 days ago
Base Salary
$147k - $210k/yr
Responsibilities
- Develop and optimize collective operations such as all-reduce, all-gather, reduce-scatter, and all-to-all in the XLA TPU backend.
- Implement compiler transformations from HLO-level lowering through low-level code generation.
- Improve compiler scheduling to overlap communication with computation while balancing latency, memory pressure, and throughput.
- Analyze TPU architecture and interconnect features to improve scaling performance.
- Work with ML performance and research teams to diagnose scaling bottlenecks and achieve roofline performance on critical workloads.
- Execute solutions in specialized ML areas and contribute to ML infrastructure, model optimization, and data processing.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of experience with low-level systems programming languages such as C++ or C.
- At least 1 year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- At least 1 year of end-to-end machine learning experience, including model deployment, model evaluation, data processing, or debugging.
- Experience in performance optimization and compiler development.
- Preferred: master’s degree or PhD in computer science or a related technical field.
- Preferred: 2 years of experience with data structures and algorithms.
- Preferred: experience developing accessible technologies.
- Preferred: experience with hardware design or hardware architecture.
Benefits
- US base salary of $147000-$210000, plus a 15% bonus target, equity, and benefits.
- Google benefits are available; details are provided through the company benefits information.
- The role focuses on Google’s internal and open-source XLA compiler supporting TPU, GPU, and other accelerator workloads.
Tech Stack
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.