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For Companies At a Glance
- Tasks: Own the infrastructure layer for cutting-edge AI systems and ensure operational excellence.
- Company: Join Callosum, a pioneering Intelligent Systems company revolutionising AI infrastructure.
- Benefits: Competitive salary, equity, private healthcare, and relocation support.
- Other info: Inclusive workplace with excellent tools and support for your best work.
- Why this job: Tackle complex challenges in a dynamic environment and make a real impact on AI technology.
- Qualifications: Strong systems engineering background with expertise in Linux, networking, and programming.
The predicted salary is between 70000 - 90000 £ per year.
About Us
Artificial intelligence scaled on a bet - that bigger models, more identical chips, and more data would keep delivering. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. The next era belongs to heterogeneous intelligence: diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability unreachable by any single model or accelerator. Callosum is the Intelligent Systems company. We built the infrastructure to make that possible. Our co-evolution engine optimises simultaneously across workflows, agents, and silicon. We launched in early 2026 showing orders of magnitude improvements in performance and a shift in the cost-performance frontier that no single chip or model provider can provide. We believe intelligence comes from the system, not the model. We are scientists and engineers solving what others consider impossible. If you thrive on hard problems, and are passionate and energised by the scale of the challenge, we'd love to hear from you.
About the role
Heterogeneous intelligence runs on clusters of diverse silicon. You will own the infrastructure layer underneath Callosum's inference platform, ensuring heterogeneous clusters remain operational and observable. You will set up cluster provisioning and lifecycle management, high-performance networking and storage, systems-level performance work to the platform inside its latency and throughput envelopes as the hardware beneath it changes. You will work closely with the hardware and orchestration teams that bring new accelerators into the co-evolution engine. When new silicon arrives, you are one of the people who makes it usable.
Who We Are Looking For
- Our teams vary across expertise but are united in high agency, and a track record of driving hard problems from ambiguous to solved.
- Strong systems engineering background with deep Linux and networking expertise.
- Proven debugging, profiling, and performance optimization skills.
- Experience operating distributed systems and infrastructure platforms.
- Strong programming skills in Go, Python, C++, Rust, or similar.
- Comfortable working across hardware/software boundaries.
What Stands Out
- Operating large-scale Linux, HPC, or GPU clusters.
- Container orchestration, cluster management, virtualization and provisioning.
- High-performance networking and storage systems (RDMA, InfiniBand, RoCE).
- AI systems performance optimization, especially distributed inference, memory efficiency, and networking performance (CUDA, NCCL).
What We Offer
- Competitive Salary, determined by skills and experience.
- Equity & Ownership.
- Private healthcare.
- We offer Visa sponsorship and relocation benefits to hire the best in the world.
- We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us.
- We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
Staff Engineer, Hardware Infrastructure in London employer: Callosum
Contact Detail:
Callosum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer, Hardware Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Callosum. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a project or a portfolio that highlights your systems engineering expertise, make sure to share it during interviews. It’s a great way to demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for technical challenges! Brush up on your debugging and performance optimisation skills, as you might face some hands-on tests. We want to see how you tackle real-world problems, so be ready to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Staff Engineer, Hardware Infrastructure in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for tackling hard problems shine through. We want to see that you're not just looking for a job, but that you're genuinely excited about the challenges we face at Callosum.
Tailor Your CV: Make sure your CV highlights your systems engineering background and any relevant experience with Linux and networking. We love seeing how your skills align with our needs, so don’t be shy about showcasing your expertise!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Callosum
✨Know Your Stuff
Make sure you brush up on your systems engineering knowledge, especially around Linux and networking. Be ready to discuss your experience with distributed systems and how you've tackled performance optimisation in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of hard problems you've solved, particularly those that were ambiguous at first. Highlight your approach to debugging and profiling, and how you’ve driven projects from start to finish.
✨Familiarise Yourself with Our Tech Stack
Get comfortable with the programming languages mentioned in the job description, like Go, Python, C++, or Rust. If you have experience with high-performance networking and storage systems, be ready to share specific instances where you applied this knowledge.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s vision for heterogeneous intelligence. This shows your genuine interest and helps you understand how you can contribute to their mission.