At a Glance
- Tasks: Design and optimise software for next-gen ML systems and collaborate with top engineers.
- Company: Join Google, a leader in tech innovation and digital transformation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with chances to switch teams and projects.
- Why this job: Make a real impact on cutting-edge technology that shapes the future.
- Qualifications: 8 years in software development and experience with machine learning tools.
Staff TPU Co-Design and Performance Software Engineer
- Full time
- London, UK
- On-site
Minimum qualifications
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing.
Preferred Qualifications
- Experience with ML based performance work.
- Knowledge or experience with LLM.
- Knowledge of performance analysis.
- Knowledge of computer architecture, TPU, or other accelerators.
About The Job
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
With the increasing complexity of ML model and ML accelerator architectures, there is a growing demand for comprehensive performance/TCO analysis and hardware/software co-design that can enable the peak performance of future ML systems.
In this role, you will be closely collaborating with TPU hardware designers, compiler team, and Google-Deepmind ML researchers, to drive ML system hardware/software co-design and optimizations.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Explore and define future ML accelerator system and chip architecture with objective and data-driven ground truth.
- Build and maintain system simulation infrastructure to enable system ground-truth understanding for hardware/software co-design and optimization.
- Establish understanding on latest business-critical production ML models (large-language models, large embedding models, etc.) to inform optimizations of model architecture, software system, and hardware architecture.
Staff TPU Co-Design and Performance Software Engineer employer: SuprAIJobs
Google in London is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among top-tier talent. Employees benefit from extensive growth opportunities, cutting-edge projects in machine learning, and the chance to work alongside industry leaders in a vibrant city known for its tech ecosystem. With a commitment to employee well-being and professional development, Google provides a rewarding environment for those looking to make a significant impact in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff TPU Co-Design and Performance Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SuprAIJobs or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Staff TPU Co-Design and Performance Software Engineer
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 SuprAIJobs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SuprAIJobs 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 SuprAIJobs
✨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 SuprAIJobs 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.
