Software Jobs in San Jose, CA (Now Hiring) — 1,910 open — Page 2

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Python, Go, Java, Kotlin, C++).
• Experience building and deploying generative AI agents or applications powered by Large Language Models (LLMs).
• Experience in system design, system architecture, distributed systems, software engineering, and full-stack development.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
  
• Experience in building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
• Experience implementing AI algorithms to address computational problems.

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.

As a Senior Software Engineer, you will provide technical leadership and drive the architectural direction of core platform capabilities leveraging Google’s full stack and advanced Gemini agent infrastructure. You will lead the design and end-to-end execution of complex, high-impact systems spanning rapid development platforms and production shepherding workflows, establishing robust standards for seamless human-agent collaboration and automated release governance.

In this role, you will overcome ambiguous technical challenges, mentor junior engineers, and partner closely with cross-functional teams to define extensible APIs and integration frameworks. Your contributions will directly amplify engineering velocity across Google, automate compliance and launch safety at scale, and set the benchmark for enterprise-grade, agent-driven operations.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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:

• Lead and participate in technical design reviews, system reliability improvements, and documentation.
• Design and build extensible platform capabilities for rapid application scaffolding, interactive canvases, and live preview environments using Full stack tech stack and Gemini Agents.
• Design human-in-the-loop (HITL) interfaces and operational panes to give engineers transparent control over production-bound agents.
• Build robust frameworks, APIs, and grounding pipelines integrating core internal systems to maximize agent accuracy and context.
• Implement scalable, high-quality features across the entire stack, from frontend user interfaces (Angular) to backend services (Gemini, Python, Go, Kotlin, Angular).