Senior Inference Systems & Performance Engineer in London

Senior Inference Systems & Performance Engineer in London

London Full-Time 59400 - 72600 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own end-to-end performance for inference platforms and manage KV caches and scheduling.
  • Company: Callosum, a leading tech company based in London.
  • Benefits: Visa sponsorship, relocation support, and competitive salary.
  • Other info: On-site role in London with opportunities for professional growth.
  • Why this job: Join a dynamic team and scale model serving with cutting-edge technology.
  • Qualifications: Deep LLM inference knowledge and strong distributed system experience required.

The predicted salary is between 59400 - 72600 £ per year.

Callosum in London is hiring for a role owning end-to-end performance for our inference platforms.

You will manage KV caches, batching, memory, and scheduling across heterogeneous hardware to scale model serving.

The candidate should have deep LLM inference knowledge, strong distributed system experience, and low-level debugging skills on GPUs, networks, and Linux.

Visa sponsorship and relocation are available; on-site in London.

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Senior Inference Systems & Performance Engineer in London employer: Callosum

At Callosum, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to take ownership of their projects. Located in the vibrant tech hub of London, we offer competitive benefits, continuous learning opportunities, and the chance to work with cutting-edge technologies in the field of intelligent systems. Join us to be part of a team that values creativity and growth, making a meaningful impact in the world of scalable agent runtimes.

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Contact Details:

Callosum Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Inference Systems & Performance Engineer 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 Callosum 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 Callosum.

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 Callosum.

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 Callosum 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 Senior Inference Systems & Performance Engineer in London

End-to-End Performance Management
KV Caches Management
Batching Techniques
Memory Management
Scheduling across Heterogeneous Hardware
LLM Inference Knowledge
Distributed Systems Experience

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 Callosum.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Callosum 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 Callosum

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 Callosum 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.