At a Glance
- Tasks: Lead projects in GPU software development and collaborate with diverse teams.
- Company: Join Google, a leader in innovative technology and mobile experiences.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of mobile tech and impact billions of users worldwide.
- Qualifications: 8 years in software development with leadership experience; GPU expertise preferred.
- Other info: Dynamic environment with a focus on cutting-edge technology and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Required Qualifications
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience with Graphics Processing Unit (GPU) and mobile GPU.
- Experience with GPU drivers and embedded programming in C.
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.
- Experience in C++ and Kernel drivers.
Technical Skillsets
- Experience with Vulkan, SPIR-V, Low Level Virtual Machine (LLVM), and graphics pipelines.
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.
Pixel Graphics Processing Unit (GPU) software enables everything from simple low power animations to rich UI, high-end games, and on-device image processing to make the best use of the GPU in Pixel phones. Our team works in Pixel devices from SoC conception all the way to field deployment and beyond. We work closely with multiple teams at Google, including Android, Pixel camera, display, video and power.
As a member of Pixel's core GPU driver team, you will share ownership of the kernel GPU driver and the user space graphics driver stack. You will be involved in developing new features, devising performance improvements, bringing silicon up, debugging problems and in identifying future requirements for both software and hardware in Pixel products.
The Google Pixel team focuses on designing and delivering the world’s most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Responsibilities
- Provide technical leadership on projects and advise Android and Pixel leadership on performance and feature opportunities in graphics software, and scope solutions with partner teams inside and outside Google.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines, such as work with product and engineering teams to define the role and requirements of the GPU in future product designs.
- Develop GPU graphics and compute technologies spanning the full GPU software stack.
- Evaluate and bring-up devices and work with product and engineering teams to define the role and requirements of the GPU in future product designs.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Staff Software Engineer, Pixel GPU in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, Pixel GPU in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Google, especially those in the Pixel team. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to GPU programming and graphics software. This is your chance to shine and demonstrate your expertise.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge, especially around C++, Vulkan, and GPU drivers. Practice common interview questions and be ready to discuss your past leadership experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Staff Software Engineer, Pixel GPU in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8 years of software development experience and any leadership roles you've had. We want to see how you've led project teams and set technical direction, so don’t hold back!
Tailor Your Application: When applying, customise your CV and cover letter to reflect the specific skills mentioned in the job description, like your experience with GPU and C programming. This helps us see how you fit right into our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. Bullet points can be your best friend here!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Google Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GPU technologies, especially Vulkan, SPIR-V, and LLVM. Be ready to discuss how you've applied these in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
Since the role requires technical leadership, prepare examples that highlight your experience in leading project teams. Think about specific instances where you influenced team direction or resolved conflicts, and be ready to share these stories.
✨Understand Google's Vision
Familiarise yourself with Google's products and their impact on users. Be prepared to discuss how your work can contribute to enhancing user experiences, particularly in mobile devices and graphics processing.
✨Prepare for Technical Questions
Expect in-depth technical questions related to C, C++, and kernel drivers. Practice coding problems that involve data structures and algorithms, as these are likely to come up during the interview. Use platforms like LeetCode or HackerRank to sharpen your skills.