We’re looking for an engineer who wants to own Bazel at scale and build the tooling that powers every part of Fractile, from ML models to kernel drivers to hardware simulation.This is a greenfield Bazel role in a fast-growing deep-tech company building a new class of ML hardware and software from first principles.
What you’ll work on:
Designing and owning Bazel rules and extensions
Scaling our monorepo as we grow across Python, C++, Rust, SystemVerilog and ML workloads
Creating reproducible, multi-language build pipelines
Optimising CI performance across large compute clusters
Defining the developer experience for every engineer at Fractile
Contributing upstream to Bazel rules we depend on
Why this role is unique?
No legacy — you’re building the Bazel ecosystem from scratch
Extreme variety — ML, compilers, kernel drivers, simulators, hardware verification
High impact — your work becomes the backbone of the entire engineering organisation
Deep collaboration with Simulation, Runtime, and Hardware teams
Real ownership — you shape how Fractile builds software
What we’re looking for:
5+ years in software or infrastructure engineering
3+ years with build systems
Strong experience with Bazel
Python scripting and automation
Experience with CI/CD for large-scale products
Bonus: ML pipelines, GitHub Actions, multi-language build systems, containers
Skills Required
- 5 years experience in Software Engineering or Infrastructure Engineering
- 3 years of experience with build tools
- Experience building and maintaining advanced CI/CD pipelines for large-scale products
- Proficiency with Bazel
- Scripting and automation skills in Python
- A degree in Computer Science, Engineering, or a related field
What We Do
Fractile is developing AI chips designed for efficient AI model inference, aiming to radically improve the speed and cost of running frontier AI models by eliminating memory bottlenecks.
