At a Glance
- Tasks: Enhance AI cloud infrastructure by optimising networking for large-scale training workloads.
- Company: Join Verda, a pioneering full-stack AI cloud company.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Be part of an innovative team shaping the future of AI infrastructure.
- Qualifications: Experience in distributed systems and networking; strong analytical skills.
The predicted salary is between 59400 - 72600 £ per year.
About Verda
Verda is reimagining cloud infrastructure for AI workloads. We are a full-stack AI cloud company, meaning we install, operate, and optimize our compute for training and inference of AI models. Join Verda while it's still being built - not once it's finished!
Your responsibilities
- Focus on improving the networking and communication layer behind large-scale LLM training workloads.
- Optimize collective communication performance across distributed GPU clusters, helping improve throughput, utilization, and reliability for communication-bound workloads.
- Debug and analyze bottlenecks across the networking stack, building tooling and infrastructure for benchmarking, profiling, and regression testing of distributed training performance.
- Work closely with training, infrastructure, hardware, and networking teams to improve how workloads scale across clusters, contributing to both system reliability and overall training efficiency.
- This role is highly collaborative and research-adjacent, requiring curiosity, initiative, and willingness to go deep into low-level communication systems and distributed training infrastructure.
Your key competencies
- Experience with distributed systems, networking, or large-scale ML training infrastructure.
- Experience with communication libraries such as NCCL, MPI, NVSHMEM, or similar technologies.
- Experience with profiling and debugging tools such as Nsight Systems, NCCL logs, PyTorch Profiler, or perf.
- Strong systems thinking and ability to analyze performance bottlenecks across distributed environments.
- Self-starter mindset with ability to independently define and drive technical projects.
- Strong curiosity about low-level systems, networking, and large-scale AI infrastructure.
Representative projects
- Build tools to identify NCCL bottlenecks, slow ranks, and communication tail latency.
- Build dashboards and regression infrastructure for training network health and performance.
- Implement fault-tolerance mechanisms to reduce cluster idle time and improve training efficiency.
Practicalities
- Location: Helsinki, Finland or London, UK.
- Hybrid mode: Working from either our Helsinki or London office for three days a week.
- Employment type: Full-time and permanent.
What's next
We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move.
Member of Technical Staff, AI Infrastructure Team in London employer: Verda
Verda is an exceptional employer that fosters a vibrant multicultural work environment, making it an ideal place for a Technical Account Manager to thrive. With competitive cash and equity compensation, along with opportunities to collaborate with innovative AI companies, employees are encouraged to grow and develop their skills while managing impactful technical relationships. The company's commitment to enhancing customer experience and providing robust support ensures that team members feel valued and empowered in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff, AI Infrastructure Team in London
✨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 Verda 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 Verda.
✨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 Verda.
✨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 Verda 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 Member of Technical Staff, AI Infrastructure Team 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 Verda.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Verda 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 Verda
✨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 Verda 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.
