Software Engineer, ML Compilers, Silicon Engineering
Google · Posted Oct 13
Search engine, cloud computing, software, hardware, and artificial intelligence services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Platforms and Devices team encompasses Google's computing software platforms across desktop, mobile and applications, as well as first-party devices and services combining Google AI, software and hardware. This role focuses on developing ML compilers for the Tensor TPU to accelerate Generative AI and other complex machine learning models running on custom hardware accelerators. The engineer will build compiler tooling that maps ML models to the hardware ISA, root-cause correctness and performance issues on EdgeTPU, and work with model owners to optimize model architectures.
What you will do
- Build compilers and tools that efficiently map ML models (with a particular focus on always-on computing use cases) to the hardware ISA.
- Propose and implement fixes to the compiler to address these issues in collaboration with other compiler engineers.
- Triage and root-cause correctness and performance issues encountered while enabling ML models on EdgeTPU.
- Interact closely with model owners to influence their model architectures to make them run efficiently on the EdgeTPU.
Skills used in this role
Preferred qualifications
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience in optimizing ML model inference on device.
- Experience in power and performance optimizations.
- Good understanding of hardware, especially hardware that provides a high degree of parallelism.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
Recent coverage
Google Blog
Project Suncatcher: Testing AI Compute in Space2026-09-24
Android Headlines
Everything announced at Google's 2026 Made by Google event2026-08-24
TechRepublic
Google's Biggest Announcements of 2026: Gemini, Android 17, and More2026-08-03