Senior Software Engineer, Backend and AI Systems, Flow
Listed on 2026-01-12
-
Software Development
Software Engineer, AI Engineer, Full Stack Developer, Machine Learning/ ML Engineer
Senior Software Engineer, Backend and AI Systems, Flow
Google – Locations:
Mountain View, CA, USA;
New York, NY, USA
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
- Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Java, C++, Python, Kotlin, or Go).
- 3 years of experience testing, maintaining, or launching scalable software products, 1 year of experience with backend software design and distributed system architecture.
- 3 years of experience with one or more of the following:
Generative AI, computer vision, media processing, ML infrastructure, or backend systems for AI products. - 3 years of experience with ML infrastructure (e.g., model deployment, inference, data processing, debugging).
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures, algorithms, and software design optimization.
- 1 year of experience in a technical leadership role, driving technical direction in 0-to-1 project environments or startups.
- Experience with Google-specific technologies (e.g., Boq, Spanner) or building backend systems for generative AI (e.g., LLMs, diffusion models) and enterprise-grade applications.
- Experience developing accessible technologies or user-centric tools for creative expression.
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 manage information at a 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 your changing business grows and evolves. 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 Flow is an exciting new product from Google Labs that empowers creators to generate high-quality video and image content for professional and entertainment use cases. Born from the same team that launched ground-breaking technologies like Music
LM, Veo, and Image Fx, Flow is building on this momentum to expand significantly. We are moving from an early-adopter focus to a massive scale, targeting both mobile experiences and enterprise-grade reliability. This is a rare opportunity to work in a “0-to-1” environment within Google, building the backbone of a product that sits at the nexus of Generative AI models and user-centric product needs.
Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google.
Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer time frames.
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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).