Software Build Engineer for ML Stack & Infra Tools

Foundation Capital; Greater London; On-site; GBP 60,000 - 95,000; Full time

Benefits offered by this job

Flexible working

Private medical insurance

Dental plan

Pension (matched up to 5%)

Life assurance

Income protection

Parental leave

Employee assistance programme

Job summary

Graphcore is seeking a Build Engineer to join the Software Infrastructure's new Build Engineering team. You will develop internal tooling to build, test and integrate the ML software stack and work with HPC AI platforms.

You will collaborate with QA and development teams to ensure reproducible, secure builds, provide guidance on build practices and help scale distributed ML software infrastructure across the company.

Qualifications

• Knowledge of Python/C++ (or similar language).
• Understanding of Build Processes and Frameworks.
• Experience working in Linux environments.
• Good communication skills.

Responsibilities

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Skills

Python

C++

Build processes

Linux

Communication

Bazel

CMake

PyTest

GoogleTest

Buildstream

SDLC

Docker

Podman

Tools

Docker

Podman

Bazel

CMake

PyTest

GoogleTest

Buildstream

Job description

Graphcore is seeking a Build Engineer to join the Software Infrastructure's new Build Engineering team. You will develop internal tooling to build, test and integrate the ML software stack and work with HPC AI platforms.

You will collaborate with QA and development teams to ensure reproducible, secure builds, provide guidance on build practices and help scale distributed ML software infrastructure across the company.