How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role Overview
This role is centred on designing and building the low-level infrastructure that powers modern databases and AI systems. Rather than integrating existing technologies, you'll be developing the underlying components that make them work from database internals and distributed systems to performance-critical AI infrastructure.
We're looking for engineers who enjoy working close to the hardware, solving difficult systems problems, and building scalable software from first principles.
What You'll Be Working On
- Designing and implementing high-performance database and storage technologies.
- Building distributed systems, query engines, storage engines, and other core infrastructure from the ground up.
- Developing AI data infrastructure, including vector search, retrieval systems, and memory architectures for AI applications.
- Optimising software for maximum performance across CPUs, memory, storage, and modern hardware architectures.
- Researching and prototyping new systems that improve scalability, efficiency, and throughput for next-generation AI workloads.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- Strong software engineering experience in C, C++, Rust, or Go.
- Background in systems programming, database internals, distributed systems, operating systems, or storage engines.
- Experience designing core software components rather than integrating third-party technologies.
- Strong understanding of performance analysis, benchmarking, and low-level optimisation.
- Exposure to AI infrastructure concepts such as LLM inference, vector search, or RAG is beneficial.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience contributing to systems such as PostgreSQL, DuckDB, ClickHouse, RocksDB, TiDB, Spark, Flink, or similar.
- Knowledge of hardware-aware programming including NUMA, RDMA, GPUs, NPUs, or CXL.
- Research, open-source, or commercial experience building systems software from scratch.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location