At a Glance
- Tasks: Collaborate with researchers to optimise and deploy cutting-edge AI models.
- Company: Join Google DeepMind, a leader in AI innovation.
- Benefits: Attractive salary, flexible working locations, and extensive learning opportunities.
- Other info: Dynamic team environment with diverse career growth pathways.
- Why this job: Be part of groundbreaking AI projects that impact billions globally.
- Qualifications: 8 years in software development and experience with machine learning models.
The predicted salary is between 160000 - 200000 £ per year.
Requirements
- We require a bachelors degree or equivalent practical experience.
- We require 8 years of experience in software development.
- We require 2 years of experience deploying and maintaining machine learning models in a live production environment.
- We require experience profiling, configuring, or executing ML workloads directly on hardware accelerators such as GPUs or TPUs.
- We require experience designing, building, or optimizing model serving infrastructure or inference backends.
Responsibilities
- We collaborate closely with research teams to understand next-generation modeling approaches and ensure they are designed and implemented with production considerations in mind.
- We work with infrastructure teams to deliver serving infrastructure that is designed for maximum efficiency and performance, addressing bottlenecks in speed, scale, and quality.
- We identify opportunities to automate tasks, eliminate redundancies, build performant tests, and improve the overall velocity of model releases.
- We gain a deep understanding of serving frameworks, pre-processing pipelines, caching mechanisms, and other relevant technologies.
- We leverage roofline analysis, hardware-level profiling, and systems analysis to identify and eliminate performance bottlenecks across ML frameworks, compilers, custom kernels, and serving infrastructure on hardware accelerators.
Technologies
- AI
- Hardware
- Machine Learning
- Model Serving
- AI Agents
- CUDA
- LLM
- Py Torch
More
At Google Deep Mind, we are building the worlds first general-purpose learning agent and advancing AI to solve complex global challenges and accelerate high-quality product innovation for billions of users.
We work across multiple teams and offer opportunities for both individual contributor and technical lead growth, with openings for Software Engineering and Research Engineering backgrounds.
This role involves bringing AI research to life by working directly with researchers and engineers to optimize and deploy large language models such as Gemini onto Googles production infrastructure.
We offer learning opportunities, varied career pathways, and benefits at Google, and the position is open to preferred working locations in London, UK or Mountain View, CA, USA.
- last updated 36 week of 2026
- #J-18808-Ljbffr
Software Engineer, Model Inference employer: Google
As a Senior Manager in Ads Solutions Engineering at gTech, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. The company fosters a culture of continuous learning and development, offering ample opportunities to lead transformative projects while working with cutting-edge technologies. Located in a vibrant tech hub, gTech provides a unique chance to engage with top-tier clients and contribute to impactful solutions that drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Model Inference
✨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 Google 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
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Google.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Google.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Google that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer, Model Inference
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 Google.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Google 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 Google
✨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 Google 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.
