Platform Engineering Lead Jobs in Sunnyvale, CA
Platform Engineering Lead jobs in Sunnyvale are concentrated in the central business district along Murphy Avenue, the Peery Park tech corridor, and the broader innovation cluster near downtown, with demand driven by Apple, Google, and AiDash across semiconductor, cloud infrastructure, and enterprise software. Competition is strong and openings move fast. Find a role that fits below and apply directly.
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Showing 5 of 10+ Platform Engineering Lead jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in software engineering leadership in ML Infrastructure, ML, or product-focused AI.
- 5 years of experience with large scale distributed systems.
- 2 years of experience in a people management or team leadership role.
- Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Demonstrated experience architecting or contributing to simulation frameworks, evaluation infrastructure, or enterprise quality platforms.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Gemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our goal is to establish intelligent AI agent as a primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. In this role, you will focus on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead a team of engineers, driving career growth, team culture, and execution across data collection, evaluation generation, and unified benchmarks.
- Act as Tech Lead for the Quality Flywheel, architecting systems for scalable data collection, realistic simulation environments, eval generation, and online hill climbing.
- Direct software design and implementation for next-gen evaluation infrastructure (Eval Infra), tooling, and Gemini post-training systems adhering to architectural best practices.
- Partner across teams to distill complex, ambiguous model and platform requirements into simplified, robust technical solutions.
- Drive overarching testing and reliability architecture, advocating production stability, test environment improvements, and on-call operational support.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in software engineering leadership in ML Infrastructure, ML, or product-focused AI.
- 5 years of experience with large scale distributed systems.
- 2 years of experience in a people management or team leadership role.
- Experience with Generative AI lifecycle, including Agent frameworks or protocols (e.g., MCP, A2A), RAG, prompt engineering, or model evaluation systems.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Demonstrated experience architecting or contributing to simulation frameworks, evaluation infrastructure, or enterprise quality platforms.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Gemini Cloud Assist is designed to simplify how customers learn, design, deploy, and operate their services. Our goal is to establish intelligent AI agent as a primary interface for cloud operations, integrating seamlessly across the Cloud Console, IDEs, and other developer surfaces. In this role, you will focus on the Quality Flywheel, a foundational platform at the core of our AI quality strategy. You will build the end-to-end system that drives our agent’s continuous, automated improvement. This involves analyzing user interactions, implementing real-time evaluations to detect successes and failures, generating high-quality evaluation data, and creating feedback loops that drive model self-improvement and fine-tuning.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead a team of engineers, driving career growth, team culture, and execution across data collection, evaluation generation, and unified benchmarks.
- Act as Tech Lead for the Quality Flywheel, architecting systems for scalable data collection, realistic simulation environments, eval generation, and online hill climbing.
- Direct software design and implementation for next-gen evaluation infrastructure (Eval Infra), tooling, and Gemini post-training systems adhering to architectural best practices.
- Partner across teams to distill complex, ambiguous model and platform requirements into simplified, robust technical solutions.
- Drive overarching testing and reliability architecture, advocating production stability, test environment improvements, and on-call operational support.
See All 10 Platform Engineering Lead Jobs in Sunnyvale
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Who's Hiring
Platform Engineering Lead Jobs in Sunnyvale: Frequently Asked Questions
How do I get a platform engineering lead job in Sunnyvale?
The strongest path into a platform engineering lead role in Sunnyvale is through the city's dense concentration of semiconductor firms, cloud infrastructure companies, and enterprise software shops clustered in Peery Park and along the Highway 101 corridor. Candidates who can demonstrate hands-on experience with distributed systems, CI/CD pipelines, and platform reliability stand out most. Prior experience at a mid-size or large Sunnyvale tech employer, or at a company with engineering operations comparable in scale, gives applicants a clear edge in this market.
Which companies hire platform engineering leads in Sunnyvale?
Sunnyvale platform engineering lead roles are posted by Apple, Google, and AiDash and others right now, based on current listings on Migrate Mate as of November 2026. The local employer base skews heavily toward established tech and semiconductor companies with large internal infrastructure teams rather than early-stage startups.
Are there remote platform engineering lead jobs in Sunnyvale?
Yes, though remote availability is moderate for this role since platform engineering leads often coordinate closely with on-site infrastructure and security teams. About 0% of platform engineering lead openings tied to Sunnyvale are remote or hybrid as of November 2026, with fully remote arrangements more common for employers whose primary systems work happens in the cloud rather than on physical data center hardware.
How can I get a platform engineering lead job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is moving into a platform engineering lead role from a senior site reliability engineer or DevOps engineer position at one of the city's mid-size infrastructure-heavy tech employers. Sunnyvale companies in the semiconductor and cloud tooling space regularly develop internal talent, so lateral moves from adjacent engineering roles are common. Building demonstrated project ownership on platform initiatives, even in a contributor capacity, closes the gap faster than credentials alone.
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