ML Software Engineer Jobs in Sunnyvale, CA
ML Software Engineer jobs in Sunnyvale are in strong demand, with most openings concentrated in the Lawrence Expressway corridor, the Murphy Avenue tech district, and around Moffett Park, where semiconductor, cloud infrastructure, and consumer AI companies cluster. Employers hiring right now include Meta, Google, and Apple. Find a role that fits below and apply directly.
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Showing 5 of 118+ ML 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 with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience developing compilers.
- Experience in mobile development.
Preferred qualifications:
- Experience leading and delivering successful ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).
- Experience in ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Experience with on-device ML software development kits (SDKs)/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).
- Understanding of Generative AI model architectures and their optimization for on-device execution.
- Excellent communication and collaboration skills.
- Passion for innovation and a strong desire to push the boundaries of what's possible with on-device ML.
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.
LiteRT is Google’s next generation on-device AI framework, succeeding TensorFlow Lite (TFLite). It is designed to maximize the performance, efficiency, and portability of ML models on a wide array of edge devices, from mobile phones to embedded systems. LiteRT significantly upgrades GPU acceleration and introduces native NPU acceleration, while maintaining and enhancing the robust CPU performance inherited from TFLite.
LiteRT enables developers and Google products to deploy AI across mobile, web, desktop, and embedded. Our team focuses on building cross-platform infrastructure aligned with Google's business needs, serving top Google products (Android, Chrome, Photos, Meet, Youtube, etc), third-party developers, and specialized Pixel solutions. Our goal is to provide on-device AI infrastructure with exceptional performance, enabling framework and device flexibility at scale.
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
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
- Develop LiteRT, Google's on-device AI framework for first- and third-party, enabling state-of-the-art (SOTA) hardware acceleration and use cases on edge platforms.
- Enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (GPU/Pixel TPU/NPUs/CPU) on Android, Chrome, iOS, desktop, and more.
- Improve performance of on-device model inference via optimizations in the model symbol, on-device runtime and kernel implementation.
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 with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience developing compilers.
- Experience in mobile development.
Preferred qualifications:
- Experience leading and delivering successful ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).
- Experience in ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Experience with on-device ML software development kits (SDKs)/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).
- Understanding of Generative AI model architectures and their optimization for on-device execution.
- Excellent communication and collaboration skills.
- Passion for innovation and a strong desire to push the boundaries of what's possible with on-device ML.
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.
LiteRT is Google’s next generation on-device AI framework, succeeding TensorFlow Lite (TFLite). It is designed to maximize the performance, efficiency, and portability of ML models on a wide array of edge devices, from mobile phones to embedded systems. LiteRT significantly upgrades GPU acceleration and introduces native NPU acceleration, while maintaining and enhancing the robust CPU performance inherited from TFLite.
LiteRT enables developers and Google products to deploy AI across mobile, web, desktop, and embedded. Our team focuses on building cross-platform infrastructure aligned with Google's business needs, serving top Google products (Android, Chrome, Photos, Meet, Youtube, etc), third-party developers, and specialized Pixel solutions. Our goal is to provide on-device AI infrastructure with exceptional performance, enabling framework and device flexibility at scale.
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
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
- Develop LiteRT, Google's on-device AI framework for first- and third-party, enabling state-of-the-art (SOTA) hardware acceleration and use cases on edge platforms.
- Enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (GPU/Pixel TPU/NPUs/CPU) on Android, Chrome, iOS, desktop, and more.
- Improve performance of on-device model inference via optimizations in the model symbol, on-device runtime and kernel implementation.
See All 118+ ML Software Engineer Jobs in Sunnyvale
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Find ML Software Engineer JobsML Software Engineer Job Market in Sunnyvale
Who's Hiring
- Meta37
- Google37
- Apple25
- Uber6
- DoorDash6
Top Industries Hiring
- Technology & Software19
- Electronics & Hardware12
- Retail6
- E-Commerce & Online Marketplaces6
ML Software Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a ml software engineer job in Sunnyvale?
The strongest path into Sunnyvale's ml software engineer market is targeting the semiconductor, cloud platform, and consumer AI companies concentrated along the Lawrence Expressway corridor and in Moffett Park. Employers here favor candidates with hands-on experience in model training, inference optimization, or MLOps pipelines. Familiarity with the hardware-software stack used in edge and on-device AI gives applicants a concrete edge over candidates with purely cloud-centric backgrounds.
Which companies hire ml software engineers in Sunnyvale?
Employers hiring ml software engineers in Sunnyvale right now include Meta, Google, and Apple, based on current listings on Migrate Mate as of August 2026. Sunnyvale's hiring landscape is heavily weighted toward large semiconductor manufacturers, established cloud platform teams, and mid-size AI product companies that have their R&D operations anchored in the city.
Are there remote ml software engineer jobs in Sunnyvale?
Yes, though the share varies: ml software engineer work is moderately remote-friendly for modeling and experimentation roles but less so for positions tied to hardware, lab infrastructure, or on-site compute clusters. About 0% of ml software engineer openings tied to Sunnyvale are remote or hybrid as of August 2026, with the most flexibility found in applied research and model deployment roles rather than hardware-adjacent positions.
How can I get a ml software engineer job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is through internship-to-hire pipelines at the large semiconductor and cloud companies headquartered in the city, many of which run structured new-grad programs. Targeting roles titled ML engineer intern, junior ML engineer, or data scientist gives candidates a foot in the door. A portfolio demonstrating end-to-end model development, even from academic or personal projects, carries more weight with Sunnyvale hiring teams than credentials alone.
Which industries hire the most ml software engineers in Sunnyvale?
Sunnyvale ml software engineer roles concentrate in Technology & Software, Electronics & Hardware, and Retail, based on current listings on Migrate Mate as of August 2026. Sunnyvale's unique density of semiconductor manufacturers, wireless technology firms, and cloud infrastructure teams means demand here is driven by both hardware-integrated AI development and large-scale platform ML, making the industry mix more hardware-oriented than in neighboring cities.
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