Senior Software Engineer, AI​/ML

Google San Jose, CA, USA ;
Kirkland, WA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Senior Software Engineer, AI/ML

X In most instances, this position requires in-person interviews as part of the hiring process. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
San Jose, CA, USA;
Kirkland, WA, USA.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., C++, Go or Java).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience designing, building, and maintaining infrastructure.
• Experience designing, developing, and deploying artificial intelligence (AI) models or machine learning algorithms.

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• Experience applying AI to solve software engineering problems, with a background or strong interest in agentic software development (LLMs, code generation, etc.).
• Experience in driving significant operational efficiencies (e.g., compute, storage, latency) and structural software improvements (e.g., code quality, testing speed) in production, brown-field systems.
• Experience designing, building, maintaining, optimizing, and debugging large-scale, high-performance distributed production systems (e.g., replicated state machines, database systems, networking, or storage).

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.

This is an opportunity to participate in a fast-moving, high-impact AI-native team, and play a part in defining how Google leverages AI to deliver qualitatively different engineering outcomes compared to pre-AI ways of working.

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 se are the essential building blocks for…