AI Engineer Jobs in Sunnyvale, CA
AI Engineer jobs in Sunnyvale are in strong demand, concentrated in the downtown Murphy Avenue corridor, the Lawrence Expressway tech belt, and the Moffett Park research campus area, across semiconductor AI, enterprise software, and autonomous systems. Leading employers hiring right now include Google, Apple, and General Motors (GM). Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 1,084+ AI Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience programming in Go for software development, including AI/ML applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience with container orchestration (e.g., Kubernetes) and cloud-based AI platforms.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
If you are excited about shaping the future of AI on the edge and in hybrid clouds, and addressing unique challenges across various deployment models, we want to hear from you!
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the technical design, development, and optimization of software components critical for Large Language Model (LLM) inference serving on GDC. This includes areas such as model life-cycle management, efficient data loading, dynamic request routing, and intelligent load balancing.
- Drive horizontal integration across core platform services, including billing, logging, observability, security, and quota management.
- Implement and enhance serving capabilities to support advanced LLM techniques like disaggregated serving, speculative decoding, quantization, and efficient model sharding across distributed hardware.
- Collaborate closely with internal teams developing core LLM frameworks, container orchestration (Kubernetes, Google Kubernetes Engine (GKE)), networking infrastructure, and hardware acceleration to build a cohesive and high-performance serving platform.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience programming in Go for software development, including AI/ML applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience with container orchestration (e.g., Kubernetes) and cloud-based AI platforms.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
If you are excited about shaping the future of AI on the edge and in hybrid clouds, and addressing unique challenges across various deployment models, we want to hear from you!
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the technical design, development, and optimization of software components critical for Large Language Model (LLM) inference serving on GDC. This includes areas such as model life-cycle management, efficient data loading, dynamic request routing, and intelligent load balancing.
- Drive horizontal integration across core platform services, including billing, logging, observability, security, and quota management.
- Implement and enhance serving capabilities to support advanced LLM techniques like disaggregated serving, speculative decoding, quantization, and efficient model sharding across distributed hardware.
- Collaborate closely with internal teams developing core LLM frameworks, container orchestration (Kubernetes, Google Kubernetes Engine (GKE)), networking infrastructure, and hardware acceleration to build a cohesive and high-performance serving platform.
See All 1,084+ AI Engineer Jobs in Sunnyvale
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Find AI Engineer JobsAI Engineer Job Market in Sunnyvale
Who's Hiring
- Google403
- Apple250
- General Motors (GM)69
- Meta42
- NEXXA42N
Top Industries Hiring
- Electronics & Hardware83
- Technology & Software69
- Artificial Intelligence42
- Telecommunications28
- Banking & Financial Services28
AI Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a ai engineer job in Sunnyvale?
Focus on the sectors where Sunnyvale concentrates its AI hiring: semiconductor and chip design firms, enterprise cloud software companies, and autonomous vehicle and robotics labs. Roles cluster around Moffett Park, the Lawrence Expressway corridor, and downtown Sunnyvale. Candidates with hands-on experience in large language models, MLOps pipelines, or edge AI deployment stand out locally. Targeting mid-size product companies alongside the large platform employers broadens your options.
Which companies hire ai engineers in Sunnyvale?
Companies currently hiring ai engineers in Sunnyvale include Google, Apple, and General Motors (GM), per current listings on Migrate Mate as of September 2026. Sunnyvale's employer mix runs from Fortune 500 semiconductor and networking firms to well-funded AI-native startups, giving candidates a range of team sizes and product domains to target.
Are there remote ai engineer jobs in Sunnyvale?
Yes, though availability varies by specialization: research and software-focused AI roles tend to offer more remote flexibility than hardware-adjacent or lab-based positions. About 59% of ai engineer openings tied to Sunnyvale are remote or hybrid as of September 2026, reflecting the broader tech industry's mixed approach. Model development, data pipeline, and MLOps work are the functions most commonly offered on hybrid or fully remote terms locally.
How can I get a ai engineer job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is joining a mid-size AI software company or a semiconductor firm's machine learning tooling team as a junior ML engineer or AI research associate. Sunnyvale's density of hardware-software companies means entry-level openings often value applied project work and internships at local firms over pure academic credentials. Contributing to open-source AI frameworks and targeting rotational programs at Sunnyvale's larger employers helps bridge the experience gap.
Which industries hire the most ai engineers in Sunnyvale?
The sectors hiring the most ai engineers in Sunnyvale are Electronics & Hardware, Technology & Software, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. Sunnyvale's long history as a semiconductor and networking hub means AI talent is especially sought to build inference hardware, intelligent networking products, and enterprise automation platforms rooted in the city's core industries.
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