Google jobs

Senior Software Engineer role focused on AI/ML and infrastructure at Google's Mountain View office. Requires 5+ years of programming in Python/C++, 3+ years of ML infrastructure experience (model deployment, optimization, data processing), and emphasis on testing, launching products, and software design. Reports to Mountain View campus location; requires on-site presence.

This Senior Software Engineer position on Google Cloud's GDC Host Network Functions team focuses on building large-scale network infrastructure, SDN controllers, network virtualization, and Kubernetes networking. Based in Sunnyvale, CA (on-site). Mid-level role requiring 5+ years software development in C++ or Go, 3+ years infrastructure/distributed systems/networking, and 1+ years design/architecture. Emphasizes low-level system software, Linux kernel networking, and network function virtualization supporting GDC customer workloads. Compensation details not provided. The team provides host networking and network performance foundations for AI, Retail, Telecom, and Enterprise customers on Google Cloud.

Senior Software Engineering Manager role overseeing AI/ML GenAI teams at Google Cloud AI. Requires 8+ years software development, 7+ years ML infrastructure leadership, 5+ years people management, and 2+ years GenAI experience. Sunnyvale, CA on-site position with $262k–$365k compensation and 25% bonus. Scope includes managing multiple teams and large-scale project deployment.

This Software Engineer III position on Google's AI/ML Core team focuses on speech/audio, reinforcement learning, and ML infrastructure (model deployment, evaluation, optimization, data processing). Based in Sunnyvale, CA (on-site). Mid-level role requiring 2+ years software development in one or more languages and 1+ years with speech/audio, RL, or ML infrastructure specialization. Emphasis on designing, developing, testing, and launching ML-powered products across Google. Compensation: $147k–$211k + 15% bonus + equity. The Core team builds foundational technology supporting Google's flagship products, with opportunities to work across multiple teams as the business evolves.

Lead GenAI Forward Deployed Engineer at YouTube's AI Accelerator, same role as ID 7af8448d. Requires 9+ years building APIs/web applications, scalable microservice architecture, 8+ years full-stack (Python/Go/Java/C++/TypeScript), 4+ years product roadmap and Tech Lead/Manager experience. On-site locations in San Bruno, Mountain View, or New York. Leadership role combining enterprise AI infrastructure, multi-agent systems, SRE/security practices, and GTM enablement.

Senior Forward Deployed Engineer, GenAI at YouTube AI Accelerator. Requires 6+ years full-stack software development and system design (JavaScript/TypeScript frontend, Java/Python/Go/C++ backend), applied AI/agentic workflows, and database/distributed systems expertise. On-site in San Bruno, Chicago, Mountain View, New York, or Los Angeles (Playa Vista). Role merges consulting, product strategy, applied AI, and systems engineering to deploy enterprise AI solutions for GTM operations; emphasis on multi-agent systems and LLM observability.