Senior Staff Software Engineer, AI/ML, Google Cloud
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry level ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture and testing/launching software products.
- Experience with Large Language Model, AI Algorithms, and Machine Learning.
Preferred qualifications:
- Experience with balancing out software engineering priorities against timelines.
- Experience building software and distributed systems at scale.
- Excellent problem-solving skill in ambiguous situations with comfort for new technology and thinking outside the box.
- Ability to set and lead the “big picture” strategy for the engineering team, while also providing detailed guidance on individual projects.
About the job
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 guide the architecture of highly scalable enterprise applications used by all Google Cloud Customers and Partners, as well as many Googlers. You will have technical oversight of first party platforms and related aspects of architecture, technology platform choices, features, and consult on the designing and planning for integration of third party technologies. You will act as an escalation point for particularly technical decisions and function as a trusted partner for defining both short-term tactical approaches and longer term strategies. You will coach software engineers and teams, and set organizational engineering excellence best practices. Work cross-functionally to lead technology innovation that has real-world impact in enabling Google Cloud’s continued growth and leadership.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
The US base salary range for this full-time position is $248,000-$349,000 + 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.
Responsibilities
- Provide technical direction and strategy for the organization.
- Deliver high quality and impactful launches through close partnerships.
- Build a collaborative work environment, helping others in the organization execute to their maximum potential and actively develop and expand talent through effective mentoring and coaching.
- Partner closely with Product Managers, Program Managers, and other teams to create, lead and deliver an innovative, compelling experience to our customers. Identify and solve cross-functional and inter-team issues efficiently.
- Lead software development efforts by driving architecture selection, software design, execution, and operations to build out architectures that are resilient to change.
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