Senior AI Software Engineer Jobs in Mountain View, CA
Senior AI Software Engineer jobs in Mountain View are concentrated along Castro Street, the North Bayshore tech corridor, and the Middlefield Road office clusters, with the heaviest demand coming from large-scale AI research, cloud infrastructure, and developer tooling organizations. Employers hiring right now include Google, Databricks, and ServiceNow. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 11+ Senior AI Software Engineer jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience with storage technology (e.g., block storage, object storage, file storage) and distributed file systems (e.g., Lustre used for AI workloads).
- Experience managing cloud storage solutions for data storage, retrieval, or AI/ML training data.
- Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.
Preferred qualifications:
- Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience in compute technologies, storage, or hardware architecture.
- Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.
- Experience in relational Database Management System (RDBMS) kernel or RDBMS storage.
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.
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
- Design high-performance distributed storage systems optimized for large-scale AI training workloads.
- Optimize data pipelines and storage I/O throughput to eliminate bottlenecks in machine learning training.
- Implement scalable caching strategies to accelerate data access for deep learning frameworks.
- Develop robust system monitoring and telemetry tools to track storage performance and reliability metrics.
- Architect fault-tolerant storage architectures that ensure high availability and data durability.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience with storage technology (e.g., block storage, object storage, file storage) and distributed file systems (e.g., Lustre used for AI workloads).
- Experience managing cloud storage solutions for data storage, retrieval, or AI/ML training data.
- Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.
Preferred qualifications:
- Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience in compute technologies, storage, or hardware architecture.
- Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.
- Experience in relational Database Management System (RDBMS) kernel or RDBMS storage.
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.
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
- Design high-performance distributed storage systems optimized for large-scale AI training workloads.
- Optimize data pipelines and storage I/O throughput to eliminate bottlenecks in machine learning training.
- Implement scalable caching strategies to accelerate data access for deep learning frameworks.
- Develop robust system monitoring and telemetry tools to track storage performance and reliability metrics.
- Architect fault-tolerant storage architectures that ensure high availability and data durability.
See All 11 Senior AI Software Engineer Jobs in Mountain View
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Find JobsSenior AI Software Engineer Job Market in Mountain View
Who's Hiring
Senior AI Software Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a senior ai software engineer job in Mountain View?
Mountain View's market favors candidates with hands-on experience in large language models, reinforcement learning, or ML infrastructure, since the city's employer base skews toward AI-first product companies and foundational research labs rather than enterprise IT shops. Targeting roles in North Bayshore and the Castro Street corridor gives you access to the densest concentration of AI teams. A public portfolio of shipped models or published research carries more weight here than it does in most other cities.
Which companies hire senior ai software engineers in Mountain View?
Employers hiring senior ai software engineers in Mountain View right now include Google, Databricks, and ServiceNow, based on current listings on Migrate Mate as of November 2026. Mountain View attracts a mix of established tech giants with dedicated AI divisions and well-funded startups building purpose-built AI products across search, productivity, and autonomous systems.
Are there remote senior ai software engineer jobs in Mountain View?
Yes, though senior ai software engineer roles tied to Mountain View lean more toward hybrid than fully remote, given how many local employers prioritize in-person collaboration for model development and infrastructure work. About 0% of senior ai software engineer openings tied to Mountain View are remote or hybrid as of November 2026, with fully remote options appearing most often in roles focused on applied research, evaluation, or ML platform engineering rather than core model training.
How can I get a senior ai software engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through AI research internships or associate ML engineer roles at the city's larger tech campuses, where structured rotations and mentorship programs are common. Smaller AI startups concentrated near Castro Street often hire strong generalist engineers who can grow into senior responsibilities quickly. Contributing to open-source AI frameworks and completing project-based graduate coursework helps candidates stand out with Mountain View employers who review portfolios closely.
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