Senior Build Engineer — ML Stack & HPC Infra

Graphcore; Cambridge; On-site; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Private medical insurance

Pension matching

Life assurance

Income protection

Dental plan

Parental leave

Barista bar

Job summary

Graphcore in Cambridge, UK is seeking a Build Engineer to scale and manage infrastructure supporting the ML software stack. You will develop essential tools and services for the build, test, deployment and productisation of ML software components, collaborating with HPC AI platforms and distributed systems teams.

The role focuses on building reliable pipelines, enhancing reproducibility in secure environments, and driving best practices across the software stack.

Qualifications

• Knowledge of Python/C++ (or similar language).
• Understanding of Build Processes and Frameworks.
• Experience working in Linux environments.
• Good communication skills.
• Experience with RemoteCaching and Execution (e.g. Bazel).
• Experience with Build Tools (e.g. CMake).
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest).
• Experience with Integration Tools (e.g. Buildstream).
• Experience with SDLC and containers (e.g. Docker/Podman).
• Understanding of Software Architecture patterns.

Responsibilities

• Develop internal tooling for building, testing and integrating the ML Software Stack.
• Develop tools and technical processes for Software Releases.
• Provide guidance to developers on build practices and dependency management.
• Communicate with developers, tech leads, and software architects about aspects of the ML Software Stack.
• Work closely with QA and the ML Software Stack to resolve integration issues.
• Contribute fixes towards the ML Software Stack.

Skills

Python

C++

Linux

Build tooling

Docker

CMake

Bazel

PyTest

Buildstream

SDLC

Tools

Podman

GoogleTest

Job description

Graphcore in Cambridge, UK is seeking a Build Engineer to scale and manage infrastructure supporting the ML software stack. You will develop essential tools and services for the build, test, deployment and productisation of ML software components, collaborating with HPC AI platforms and distributed systems teams.

The role focuses on building reliable pipelines, enhancing reproducibility in secure environments, and driving best practices across the software stack.