Software Engineer AI Jobs in Sunnyvale, CA
Software Engineer AI jobs in Sunnyvale, California are in high demand across semiconductor design, cloud infrastructure, and consumer technology, concentrated in the Lawrence Expressway corridor, Lakeside district, and downtown Sunnyvale. Employers hiring right now include Google, Apple, and Walmart. See the openings below and apply to the ones that match your experience.
Find Software Engineer AI JobsOverview
Showing 5 of 378+ Software Engineer AI 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+ Software Engineer AI Jobs in Sunnyvale
Find roles in Sunnyvale that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Job Market in Sunnyvale
Who's Hiring
- Google241
- Apple80
- Walmart34
- Meta11
- Amazon11
Top Industries Hiring
- Technology & Software80
- Artificial Intelligence69
- Electronics & Hardware57
- Retail11
Software Engineer AI Jobs in Sunnyvale: Frequently Asked Questions
How do I get a software engineer ai job in Sunnyvale?
The strongest path into Sunnyvale's software engineer ai market is targeting its dense concentration of semiconductor, cloud platform, and consumer electronics companies along the Lawrence Expressway corridor and the Murphy Avenue tech cluster. Candidates who demonstrate hands-on experience with large language models, ML infrastructure, or AI-assisted product development stand out most in Sunnyvale, where employer expectations are shaped by the proximity to major Silicon Valley R&D operations. Tailoring your portfolio to the specific AI stack a company uses gives you a concrete edge.
Which companies hire software engineer ais in Sunnyvale?
Sunnyvale software engineer ai roles are posted by Google, Apple, and Walmart and others right now, based on current listings on Migrate Mate as of August 2026. Sunnyvale's employer mix leans heavily toward established semiconductor firms, global cloud providers, and mid-size AI-focused product companies, many of which run dedicated AI engineering teams rather than distributing AI work across general engineering.
Are there remote software engineer ai jobs in Sunnyvale?
Yes, though availability depends on the role: model deployment, MLOps, and AI tooling work tends to be remote-friendly, while hardware-integrated AI and on-site lab roles are almost always in-person. About 0% of software engineer ai openings tied to Sunnyvale are remote or hybrid as of August 2026, reflecting the city's blend of product-focused and hardware-dependent employers. Fully remote postings in Sunnyvale most often come from cloud and SaaS companies rather than semiconductor or device manufacturers.
How can I get a software engineer ai job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is through AI or machine learning internships at the city's mid-size product companies and platform teams, which hire more aggressively at junior levels than the larger semiconductor firms. Associate AI engineer, junior ML engineer, and AI quality assurance roles serve as common stepping stones locally. Building a public project portfolio that demonstrates applied AI work, particularly with frameworks common in Sunnyvale's cloud and consumer tech sectors, consistently moves early-career candidates forward in the local hiring process.
Which industries hire the most software engineer ais in Sunnyvale?
Sunnyvale software engineer ai roles concentrate in Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. Sunnyvale's position as a long-established hub for semiconductor design and enterprise cloud infrastructure means these sectors maintain consistent, year-round demand for AI engineering talent rather than hiring in isolated project cycles.
Related Jobs in California
See All 378+ Software Engineer AI Jobs in Sunnyvale
Find roles in Sunnyvale that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs