Software Engineer in Build Engineering
Primary stack
Nice to have's
Job description
About the Position
Join Graphcore's dynamic Software Infrastructure team as a Software Engineer in Build Engineering, focusing on scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.
About Graphcore
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
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
Requirements
Essential:
- Knowledge of Python/C++ (or similar language)
- Understanding of Build Processes and Frameworks
- Experience working in Linux environments
- Good communication skills
Desirable:
- Experience with Remote Caching 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 working within the Software Development Lifecycle (SDLC)
- Experience with building and using containers (e.g., Docker, Podman)
- An understanding of Software Architecture patterns
We Offer
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately, at this time, we are unable to provide visa sponsorship or support for visa applications
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Artificial Intelligence
About the Company Graphcore is a leading innovator in Artificial Intelligence compute, developing hardware, software, and systems infrastructure to unlock the next generation of AI breakthroughs and power widespread adoption. Products, Services & Tech Stack Core Solutions: Hardware, software, and systems infrastructure for AI. Project Scope & Target Clients Client Base: Innovators creating the next breakthroughs in artificial intelligence. Engineering Scale: Scope and complexity of engineering projects are not specified.
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