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Software Engineer, Health, Nutrition

Job in Mountain View, Santa Clara County, California, 94040, USA
Listing for: Google
Full Time position
Listed on 2026-10-09
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 147000 - 210000 USD Yearly USD 147000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer, Google Health, Nutrition
Design, implement, and maintain scalable backend services, APIs, and data infrastructure powering core nutrition and wellbeing features.

Build and support the data systems and deployment/testing infrastructure that connect data pipelines with AI-powered health and coaching features.

Partner with engineers, product managers, UX designers, clinical specialists, and Technical Program Managers (TPMs) to turn product requirements into technical designs and user-friendly features.

Leverage modern AI-assisted developer tools to accelerate coding, debugging, test generation, and code understanding, applying strong engineering excellence and a human-in-the-loop mindset to ensure software reliability and security.

Write clean, maintainable, and well-tested code, maintain unit and integration test suites, and monitor production systems to ensure high performance and availability.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.

Experience developing and designing APIs.

Experience with computer science fundamentals (e.g., data structures, algorithms, software design).

Preferred qualifications:

Experience developing nutrition, fitness, health technology, or wellness applications.

Experience deploying, testing, and serving artificial intelligence capabilities and data services.

Experience utilizing artificial intelligence development tools for test automation, debugging, and code synthesis.

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.

Google for Health is a company-wide effort to help billions of people be healthier. We work toward this vision by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally – with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits helor’s degree or equivalent practical experience.
2 years of experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.

Experience developing and designing APIs.

Experience with computer science fundamentals (e.g., data structures, algorithms, software design).
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