Google Senior Software Engineer Interview

What this interview tests

• Technical direction and design-review leadership — Nearly every posting frames the senior bar around driving architecture decisions and leading design reviews, not just executing them - Gemini serving, Creative Intelligence, Google Ads, and Google Distributed Cloud all explicitly ask candidates to describe a technical direction they drove and how they got buy-in.
• Productionizing LLMs and GenAI at scale — Gemini serving infrastructure, agentic Gemini features, on-device Gemini Nano, Ads Creative Intelligence, and Enterprise AI all test the same underlying skill: taking a large or generative model from research into a monitored, evaluated, production-serving system.
• Large-scale distributed systems and infrastructure design — Control Plane Network, Google Distributed Cloud, Google Cloud Networking, and Threat Intelligence's data pipelines all center on designing infrastructure that scales across Google's global footprint, with explicit questions on availability, fault domains, and Go/C++ systems depth.
• Compute-constrained perception and vision engineering — Eye Tracking Core and Vision, Camera and Imaging (XR) both test real-time perception pipeline design under hard frame-rate and power budgets on mobile/XR hardware, plus hands-on computer vision and camera sensor pipeline experience.
• Mentoring and cross-functional influence without formal authority — Enterprise AI, Threat Intelligence, and Google Cloud Networking all explicitly probe for technical leadership exercised through influence - shaping roadmap with PM/UX, mentoring engineers, or driving a design decision without a formal title.
• Production debugging and triage across layers — Several postings use nearly identical language asking candidates to trace a production issue back to whether it originated at the hardware, network, or service layer, reflecting how much senior infrastructure work is diagnosing failures in systems spanning multiple teams.

Common question themes

Likely format

Most postings describe the same core loop as Google's standard Software Engineer process - phone screen(s) with coding, then an onsite or virtual loop mixing coding, system design, and a Googleyness/leadership behavioral round - but several postings in this family (Enterprise AI, Eye Tracking Core, Full Stack Labs) explicitly add a Hiring Committee review step after the onsite loop, consistent with Google's well-known process for more senior hires. A handful of postings (the two DeepMind Senior SWE roles, AI Core Capabilities, Vision/Camera XR) don't specify format at all, so treat the loop-plus-Hiring-Committee structure as a strong pattern rather than guaranteed for every team.