Senior Software Engineer, Gen AI, Infrastructure, Public Sector

Google • Reston, VA

2h • $166,000 - $244,000

About The Position

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 work on developing solutions to make Gemini available to government customers. You will help develop repeatable assets that reduce implementation friction and increase maintainability for critical customer problems and use cases, helping them transform their businesses using Google AI technologies. You will help customers to develop, deploy, and manage custom solutions in production.

Google Public Sector
[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]
brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Nice To Haves

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.

Responsibilities

• Work with cross-functional teams from Customer Engineering, Professional Services, Product, Engineering, Sales and Business Development Managers to develop deployable code, ML models, prescriptive architectural guidance, and implementation guides.
• Develop integration strategies, enterprise architectures, ML models, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• Partner with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies and published assets.
• Propose solution architectures.
• Develop repeatable software assets that reduce implementation friction and increase maintainability for critical customer problems and use cases.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level