Cloud Engineer Jobs in Sunnyvale, CA
Cloud Engineer jobs in Sunnyvale, California are in high demand, concentrated in the Murphy Avenue corridor, the Mathilda Avenue tech corridor, and the Caribbean Drive business district, across semiconductor, enterprise software, and cloud infrastructure sectors. Employers hiring right now include Google, CrowdStrike, and Apple. Scan the live roles below and apply to whichever ones fit.
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with formal and design verification.
- Experience with SystemVerilog or Verilog.
- Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
- 6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based Integrated Circuits (ICs) and chips.
- Experience with scripting languages.
- Excellent communication and collaboration skills.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML- driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Plan the formal verification strategy, create the properties and constraints for the digital design blocks.
- Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
- Resolve difficult to verify properties.
- Contribute improvements to methodologies to enhance formal verification results.
- Architect and implement reusable formal verification components.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with formal and design verification.
- Experience with SystemVerilog or Verilog.
- Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
- 6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based Integrated Circuits (ICs) and chips.
- Experience with scripting languages.
- Excellent communication and collaboration skills.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML- driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Plan the formal verification strategy, create the properties and constraints for the digital design blocks.
- Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
- Resolve difficult to verify properties.
- Contribute improvements to methodologies to enhance formal verification results.
- Architect and implement reusable formal verification components.
See All 338+ Cloud Engineer Jobs in Sunnyvale
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Find Cloud Engineer JobsCloud Engineer Job Market in Sunnyvale
Who's Hiring
- Google240
- CrowdStrike40
- Apple22
- CRUSOE13
- Cerebras Systems9
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
Cloud Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a cloud engineer job in Sunnyvale?
Sunnyvale's cloud engineer market centers on semiconductor firms, enterprise software companies, and networking hardware vendors clustered along Mathilda Avenue and the Caribbean Drive corridor. Hands-on experience with multi-cloud platforms, infrastructure-as-code tools, and Kubernetes carries the most weight with Sunnyvale hiring managers. Candidates who can demonstrate production-scale deployments in AWS, Azure, or Google Cloud and show familiarity with DevSecOps practices move fastest through the interview process here.
Which companies hire cloud engineers in Sunnyvale?
Sunnyvale cloud engineer roles are posted by Google, CrowdStrike, and Apple and others right now, based on current listings on Migrate Mate as of November 2026. Sunnyvale draws a mix of established semiconductor giants, networking hardware leaders, and mid-size SaaS companies, giving cloud engineers a wide range of employer sizes and tech stacks to choose from.
Are there remote cloud engineer jobs in Sunnyvale?
Yes, though it depends on the role. Cloud engineering is one of the more remote-friendly technical disciplines since infrastructure work can often be done fully online, but roles involving data center operations or on-site hardware management typically require in-person presence. About 59% of cloud engineer openings tied to Sunnyvale are remote or hybrid as of November 2026, with the most fully remote positions concentrated in platform engineering and site reliability functions.
How can I get a cloud engineer job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is through a junior cloud operations or IT infrastructure role at one of the city's mid-size SaaS or networking companies, which tend to have more structured entry-level pipelines than the large semiconductor firms. Associate cloud support, cloud operations analyst, and infrastructure technician titles are common stepping stones locally. Earning a cloud certification in AWS or Google Cloud before applying gives candidates a measurable edge with Sunnyvale hiring managers who see high application volumes.
Which industries hire the most cloud engineers in Sunnyvale?
Most cloud engineer openings in Sunnyvale sit in Technology & Software and Artificial Intelligence, per current listings on Migrate Mate as of November 2026. Sunnyvale's dense concentration of semiconductor manufacturers, enterprise networking vendors, and SaaS platforms creates sustained demand for cloud engineers who can manage large-scale, high-availability infrastructure across complex hybrid environments.
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