Google · 1 day ago
Staff Software Engineer, AI, Infrastructure, Applied AI
Sunnyvale, CA, USA
Full-time
Onsite
Lead/Staff
$197K/yr - $291K/yr
8+ years expGoogle is a leading technology company that develops next-generation technologies to enhance user interaction with information. The Staff Software Engineer in AI, Infrastructure, and Applied AI will be responsible for architecting and building high-performance distributed infrastructure for AI workflows, ensuring system reliability and efficiency, and providing technical guidance on system architecture and code quality.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Architect and build high-performance, distributed infrastructure to support agentic AI workflows. Leverage C++ to ensure low-latency agentic systems for real-world enterprise loads
Take full ownership of the tech stack, transitioning experimental models into production services. Ensure system reliability, observability, and fault tolerance in complex, multi-agent environments
Drive inference cost optimization and system efficiency. Implement efficient connectors, optimize kernels, manage memory usage, and reduce latency to ensure our AI solutions are not just powerful, but economically viable and at scale
Provide technical guidance on system architecture and code quality. Foster a culture of engineering excellence through design reviews, code audits, and the adoption of best practices
Maintain a tight loop between hypothesis and deployment. Quickly prototype new capabilities and seamlessly harden them for production release while focusing customer needs
Qualification
Required
Bachelor's degree or equivalent practical experience
8 years of experience in software development focusing on infrastructure engineering in C++
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture
5 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), or specialization in another ML field
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
Preferred
Master's degree or PhD in Engineering, Computer Science, or a related technical field
8 years of experience with data structures and algorithms
3 years of experience in a technical leadership role leading project teams and setting technical direction
3 years of experience working in a complex organization involving cross-functional, or cross-business projects
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
2025-10-08
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2025-10-04
Company data provided by crunchbase