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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 resources for your success.
- 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 80000 - 100000 £ 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
- 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 employer: Callosum
Contact Detail:
Callosum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer, Hardware Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way to demonstrate your expertise in systems engineering and programming languages like Go or Python.
✨Tip Number 3
Prepare for technical interviews by brushing up on your debugging and performance optimisation skills. Practice common problems related to distributed systems and be ready to discuss your experience with high-performance networking.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are excited about tackling hard problems in heterogeneous intelligence.
We think you need these skills to ace Staff Engineer, Hardware Infrastructure
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for tackling complex 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 Experience: Make sure to highlight your relevant experience in systems engineering and distributed systems. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your skills in Linux, networking, and programming.
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’re a great fit for the role without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details 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 to share specific examples of challenging problems you've solved in previous roles. Highlight your debugging and profiling skills, and be ready to explain your thought process when optimising performance.
✨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 container orchestration or high-performance networking, make sure to bring that up during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's infrastructure and the role's responsibilities. This shows your genuine interest in the position and helps you understand how you can contribute to their mission of heterogeneous intelligence.