AI Engineer Jobs in Mountain View, CA
AI Engineer jobs in Mountain View are concentrated in the North Bayshore innovation corridor, Castro Street's tech hub, and the Middlefield Road business district, with employers across AI research, cloud infrastructure, and consumer technology. Google, AI Fund, and General Motors are among those actively hiring. Find a role that fits below and apply directly.
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Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for engineers to help achieve that mission.
Our Mechanical Engineering team is responsible for developing the server, rack, and infrastructure platforms that power Microsoft's global cloud and AI services. We partner closely with electrical, thermal, manufacturing, supply chain, and datacenter operations teams to deliver innovative, reliable, and scalable hardware solutions from concept through deployment.
The Principal Mechanical Engineer will lead the design and deployment of future high density, liquid-cooled systems in Azure datacenters.
#SCHIE
Responsibilities
Lead Mechanical Development: Deliver innovative mechanical designs for server and cooling systems, integrating thermal, structural, and electrical constraints with a deep understanding of server architecture and adjacencies.
Predictive Analysis & Empirical Validation: Apply advanced modeling (FEA, CFD, tolerance analysis) and empirical testing to validate structural, thermal, and reliability performance.
Design for Manufacturing & Reliability: Ensure manufacturability, cost-efficiency, and long-term reliability through material selection, tolerance control, supplier engagement, and understanding of tooling and manufacturing processes.
Drive for Results: Set clear goals with measurable outcomes, manage risk, and ensure timely delivery of high-quality hardware solutions across product lines.
Strategic Thinking: Translate business and customer needs into scalable mechanical strategies that align with long-term product and platform vision.
Technology Pathfinding: Develop and explore innovative design strategies that anticipate future trends, opportunities, and industry shifts.
Develop Technical Talent: Mentor engineers to become thought leaders, fostering growth through challenging assignments and continuous feedback.
Engineering Rigor & Agility: Balance innovation with disciplined execution, ensuring quality as a key participant in structured design reviews, test planning, and root cause analysis.
Cross-Functional Collaboration: Partner with electrical, thermal, reliability, and other domains to deliver cohesive, customer-focused solutions.
Invent & Protect: Identify and develop intellectual property, encouraging patent filings and contributing to Microsoft’s innovation portfolio.
Tool & Process Advancement: Evaluate and implement new tools, technologies, and methodologies to improve design quality and team productivity.
Qualifications
Required Qualifications:
- Doctorate in Mechanical Engineering, or related field AND 3+ years related technical engineering experience OR Master's Degree in Mechanical Engineering, or related field AND 4+ years related technical engineering experience OR Bachelor's Degree in Mechanical Engineering, or related field AND 6+ years related technical engineering experience OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer, and/or government security screening requirements is required for this role. These requirements include, but are not limited to, the following specialized security screening:
Microsoft Cloud Background Check. This position is required to pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Preferred Qualifications:
Expertise in CAD software (e.g., PTC Creo,) understanding of mechanical design principles, fluid dynamics, heat transfer, manufacturing processes, and validation.
Working knowledge of cloud infrastructure, data center operations, and related technologies, such as server racks, power distribution, cooling systems, and cable management.
Prior development experience of liquid cooled AI or HPC systems.
Experience with development of specifications, interface control documents, and managing design requirements.
Proven analytical and problem-solving skills, with the ability to identify and resolve mechanical design issues and optimize system performance.
Experience with cabling and networking interconnect technology.
Experience partnering with ODM and suppliers to develop products.
Mechanical Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
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Find AI Engineer JobsAI Engineer Job Market in Mountain View
Who's Hiring
- Google227

- AI Fund87

- General Motors87

- Microsoft70

- General Motors (GM)70

Top Industries Hiring
- Technology & Software140
- Automotive87
- Electronics & Hardware87
- Banking & Financial Services87
- Artificial Intelligence17
AI Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a ai engineer job in Mountain View?
The strongest path into Mountain View's ai engineer market is targeting the dense cluster of AI-focused technology companies in North Bayshore and the research labs near downtown. Candidates with hands-on experience in large language models, computer vision, or MLOps stand out most with local employers. Networking through Silicon Valley AI meetups and building a portfolio of deployed models gives you a practical edge over applicants with credentials alone.
Which companies hire ai engineers in Mountain View?
Employers hiring ai engineers in Mountain View right now include Google, AI Fund, and General Motors, based on current listings on Migrate Mate as of September 2026. Mountain View's employer mix skews heavily toward established technology platforms and well-funded AI startups that operate global-scale production systems.
Are there remote ai engineer jobs in Mountain View?
Yes, ai engineer roles are among the more remote-friendly positions in tech since most of the work is code, modeling, and data rather than physical hardware. About 63% of ai engineer openings tied to Mountain View are remote or hybrid as of September 2026, reflecting a market that still values some in-person collaboration for research and cross-functional projects. Model deployment and MLOps tasks are most commonly offered with flexible arrangements.
How can I get a ai engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through associate or junior machine learning engineer roles at mid-stage startups along the North Bayshore corridor, which often have leaner teams and room to grow. Contributing to open-source AI projects, completing a relevant graduate program nearby, or completing a contract role at one of Mountain View's research-oriented firms builds the credibility local hiring managers look for before committing to a full-time offer.
Which industries hire the most ai engineers in Mountain View?
The sectors hiring the most ai engineers in Mountain View are Technology & Software, Automotive, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. Mountain View's position at the center of Silicon Valley means those sectors are anchored by companies operating AI at global scale, driving consistent and specialized local demand.
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