- Location
- Mountain View, CA, United States · Onsite
- Compensation
- $174,000 - $252,000 USD annually
- Employment
- Full-time
- Experience level
- SENIOR (5+ years exp)
- Specialization
- Software Engineer, Google
- Source
Role Overview
In this role, you will drive TPU efficiency at scale for our core training stack. You will lead vital efforts in model stability and hardware enablement, managing the technical challenges of migrating large-scale Ads models to JAX and supporting next-generation TPUs. By leading cross-stack optimizations, robust debugging infrastructure, and resource-efficient ML initiatives, you will directly deliver major efficiency wins, SWE cost savings, and business impact.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Requirements & Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in Python or C++.
- 3 years of experience with Machine Learning infrastructure, ML execution frameworks (e.g., TensorFlow, JAX, PyTorch), or hardware accelerators (e.g., TPUs, GPUs).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with large - scale distributed systems and performance debugging.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Application Instructions
Apply directly on Google Careers at Senior Software Engineer, AI/ML, Ads Training.
Direct application sign-in: Submit Application
Note: In most instances, this position requires in-person interviews as part of the hiring process.