Senior Build Engineer—ML Software Stack & Tooling

Graphcore; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working

Generous annual leave

Private medical insurance

Dental plan

Pension (matched up to 5%)

Life assurance

Income protection

Parental leave

Employee assistance programme

Snack options at central office

Job summary

Graphcore seeks to scale and manage its Software Infrastructure, developing essential tools and services that empower the broader software team. You will enhance build, test, deployment, and productisation of ML Software components, working with HPC AI platforms and distributed systems.

You will join a new Build Engineering function within Software Operations, collaborating with QA and development teams to ensure reproducible, secure builds and effective release processes.

Qualifications

• Proficient in Python/C++ or similar languages.
• Experience with Linux environments.
• Knowledge of build systems and frameworks.
• Experience with Docker/Podman containers.
• Familiar with Bazel, CMake, PyTest/GoogleTest.
• Understanding of SDLC and software architecture patterns.
• Strong communication skills.
• Experience with Buildstream.

Responsibilities

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

Skills

Python/C++

Build processes

Linux environments

Communication skills

Remote caching (Bazel)

Build tools (CMake)

Testing frameworks

Integration tools (Buildstream)

SDLC

Containers (Docker/Podman)

Software architecture patterns

Tools

Docker

Podman

Job description

Graphcore seeks to scale and manage its Software Infrastructure, developing essential tools and services that empower the broader software team. You will enhance build, test, deployment, and productisation of ML Software components, working with HPC AI platforms and distributed systems.

You will join a new Build Engineering function within Software Operations, collaborating with QA and development teams to ensure reproducible, secure builds and effective release processes.