Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
In this role, you will take product ideas from conception to full-scale production in weeks and help enterprise customers adopt and deploy AI with the speed they crave. You will be a flexible and proficient AI agent builder ready to define the job. You will move between high-level systems thinking and execution. You will be willing to manage new processes and quality checks, and the critical work of front-line execution. You will evolve, and be energized by ambiguity and eagerness to flex into new areas as the business changes.
Responsibilities
- Partner directly with select customers to design, co-develop, debug, and deploy AI agents and solutions.
- Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase.
- Systematize learnings from customer engagements working with Applied AI (AAI) team members to create reusable tools, documentation, and accelerators.
- Serve as a feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.
- Provide technical guidance on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a structured organization involving cross-functional, or cross-business projects.