Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. The role of Performance Engineer is to improve and validate overall ML performance projections and validations across key workloads, software stack and hardware (GPU, TPU, system). The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries.
Requirements
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with AI and agentic tooling for development and research.
- 5 years of experience with data structures/algorithms.
- Experience with an emphasis on algorithms, systems and tools for ML performance projections and evaluation.
- Experience developing accessible technologies.
Responsibilities
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
- Build, maintain and validate HW/SW tooling to enable reliable and fast evaluation of options and solutions for ML/AI infrastructure (C++, Python).
- Build and maintain tools and methods to measure, visualize and analyse ML HW/SW performance.
- Define, implement and validate performance and cost metrics relevant for existing and future workloads and systems.
- Collaborate with other teams (hardware, compiler, ML research) to improve the end to end flow and results.
- Develop custom software tools for performance projections, validations, cost metrics, benchmarking, profiling, analysis and reporting.
- Contribute to innovations and contributions to advanced Artificial Intelligence (AI) and agentic approaches to Hardware/Software (HW/SW) co-design.
Other
- Sunnyvale, CA, USA; London, UK; Kirkland, WA, USA; Mountain View, CA, USA
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience in a technical leadership role.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
