At a Glance
- Tasks: Lead innovative AI projects and develop cutting-edge software solutions.
- Company: Join Google Cloud's dynamic team shaping the future of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in AI while working with top-tier talent and technology.
- Qualifications: Extensive experience in software development and machine learning required.
The predicted salary is between 70000 - 90000 £ per year.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with machine learning design and infrastructure, including experience architecting Generative AI applications and agentic systems.
- 3 years of experience leading technical projects and providing technical leadership to cross‑functional teams.
- Experience in Python and with production‑level systems.
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or related technical fields.
- 8 years of experience with data structures and algorithms.
- Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
- Experience building scalable software architectures that use Agentic or GenAI driven capabilities.
- Experience contributing to the developer community through open‑source contributions, technical publications, or speaking at industry conferences in the field of AI/ML.
- Understanding of responsible AI practice.
About the job:
The company'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 the company’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.
The company Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML. The ML, Systems, & Cloud AI (MSCA) organization at the company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all the company services (Search, YouTube, etc.) and the company Cloud. Our end users are Googlers, Cloud customers and the billions of people who use the company services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including the company Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities:
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide AI expertise to support the technical relationship with the company’s customers, manage product and solution briefings, create demos, proof‑of‑concept work, and partner directly with product management to prioritize solutions impacting customer adoption to the company Cloud.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution the company Cloud.
- Support developers, creators, and enterprises to leverage the company’s Generative Language APIs so they can build their own AI products in the future.
- Travel to customer sites, conferences, and other related events as needed.
The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Staff Software Engineer, Google Cloud Generative AI Blackbelt in London employer: United States Digital Space LLC
As a Staff Software Engineer at Google Cloud, you will be part of a dynamic and innovative team that is at the forefront of AI technology, shaping the future of businesses globally. The company fosters a collaborative work culture that encourages creativity and leadership, offering ample opportunities for professional growth and development in a fast-paced environment. With a commitment to diversity and inclusion, Google Cloud provides a supportive workplace where your contributions can make a significant impact on millions of users worldwide.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer, Google Cloud Generative AI Blackbelt in London
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We think you need these skills to ace Staff Software Engineer, Google Cloud Generative AI Blackbelt in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
