Senior AI Software Engineer Jobs in Sunnyvale, CA
Senior AI Software Engineer jobs in Sunnyvale, California are concentrated in the Lawrence Expressway corridor, Downtown Sunnyvale, and the Peery Park tech district, with strong demand from employers across semiconductors, cloud infrastructure, and consumer AI. Employers actively hiring right now include Google, Apple, and Walmart. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 378+ Senior AI Software 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!
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!
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 378+ Senior AI Software Engineer Jobs in Sunnyvale
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Find JobsSenior AI Software Engineer Job Market in Sunnyvale
Who's Hiring
- Google241
- Apple80
- Walmart34
- Meta11
- Amazon11
Top Industries Hiring
- Technology & Software80
- Artificial Intelligence69
- Electronics & Hardware57
- Retail11
Senior AI Software Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a senior ai software engineer job in Sunnyvale?
Focus your search on Sunnyvale's dense cluster of semiconductor companies, cloud platform teams, and consumer electronics labs along the Lawrence Expressway and Peery Park corridors. Hands-on experience with LLM fine-tuning, MLOps pipelines, or on-device AI gives candidates a clear edge here, since many local teams ship models directly into hardware products. Targeting mid-size AI-native startups in the area alongside the larger platform employers broadens your options considerably.
Which companies hire senior ai software engineers in Sunnyvale?
Employers hiring senior ai software engineers in Sunnyvale right now include Google, Apple, and Walmart, based on current listings on Migrate Mate as of August 2026. Sunnyvale's employer mix runs from large semiconductor and networking firms to growth-stage AI product companies, many with dedicated applied research and MLOps teams.
Are there remote senior ai software engineer jobs in Sunnyvale?
Yes, though availability depends on the role: positions tied to proprietary hardware, on-chip inference, or secure lab environments tend to be on-site, while applied research and platform engineering roles often allow hybrid or fully remote arrangements. About 0% of senior ai software engineer openings tied to Sunnyvale are remote or hybrid as of August 2026, with model training and MLOps roles being the most flexible. Cloud and data platform teams in the area have been especially consistent about offering hybrid schedules.
How can I get a senior ai software engineer job in Sunnyvale with little or no experience?
The most realistic path is moving into a mid-level machine learning engineer or AI platform engineer role at one of Sunnyvale's many growth-stage companies, which tend to hire engineers who can grow with the team rather than requiring a decade of applied AI experience. Contributing to open-source ML tooling, building a portfolio of fine-tuned model projects, or completing a rotational program at a larger Sunnyvale networking or semiconductor firm are all concrete entry points. Smaller AI-native product companies in the area are generally more open to candidates with strong fundamentals but limited professional AI experience.
Which industries hire the most senior ai software engineers in Sunnyvale?
The sectors hiring the most senior ai software engineers in Sunnyvale are Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. Sunnyvale's position as a hub for semiconductor design, enterprise networking, and consumer electronics means AI engineering talent is in demand at every layer of the product stack, from silicon to application.
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