At a Glance
- Tasks: Design and maintain robust test infrastructure for complex ML software.
- Company: Join Graphcore, a leader in AI compute backed by SoftBank.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on quality and collaboration.
- Why this job: Make a real impact on the future of AI with cutting-edge technology.
- Qualifications: Strong experience in software engineering, particularly with Python and CI/CD.
The predicted salary is between 36000 - 60000 £ per year.
About Graphcore
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacentre scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware.
The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers.
- Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack.
- Create representative ML workloads and gain insights from their execution (Numerical accuracy, performance analysis and benchmarking).
- Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
- Review code and designs, setting a high bar for software engineering best practices.
- Mentor and support junior engineers, helping raise the overall technical capability of the team.
Experience in production-quality software engineering roles.
Strong software design and architecture skills, with experience working on large or complex systems.
Strong proficiency in Python, including experience building and maintaining production codebases.
Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows).
Experience working in Linux environments.
Senior Staff Software Engineer (Hiring Immediately) in Cambridge employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Software Engineer (Hiring Immediately) in Cambridge
✨Join Local Coding Meetups
Get involved in local coding meetups or tech events. These gatherings are perfect for networking with other software engineers, showcasing your skills, and even getting a chance to meet potential employers face-to-face. Plus, it's a great way to learn about part-time opportunities that might not be widely advertised.
✨Contribute to Open Source Projects
Dive into some open-source projects on platforms like GitHub. This not only enhances your coding skills but also builds a solid portfolio that shows potential employers your real-world experience. Open-source contributions can lead directly to job offers since many companies scout talent in the community.
✨Utilise University Career Services
If you're in or near university, make the most of those career services! They often have connections with local tech companies looking for part-time developers and can provide valuable resources for finding job leads or prep for interviews.
✨Showcase Your Work
Build a personal website or portfolio that highlights your projects, skills, and any relevant experience. It’s a fantastic way to stand out and we encourage you to link to it in your applications. Don't forget: you can easily apply for part-time roles through our website at graphcore—just remember to include that link!
We think you need these skills to ace Senior Staff Software Engineer (Hiring Immediately) in Cambridge
Some tips for your application 🫡
Highlight Your Coding Skills:Make sure to prominently feature your coding skills in your CV. List the programming languages and technologies you're comfortable with, as well as any relevant projects you've worked on. Don’t forget to link to your GitHub profile or any other coding platform where you showcase your work – it's a great way for us at graphcore to see your skills in action!
Show Off Your Problem-Solving Skills:As a part-time software developer, problem-solving is key. In your application, try to include examples of how you've tackled tough coding challenges or bugs. If you can quantify your achievements, even better! This not only shows your technical prowess but also your ability to think critically and creatively.
Tailor Your CV for Part-Time Work:For a part-time role, it’s essential to show that you’re flexible and can manage your time well. Within your CV, highlight any previous experience balancing multiple commitments or projects. It’ll reassure us that you can juggle responsibilities without compromising on quality.
Craft Your Cover Letter with Passion:Your cover letter is your chance to show us your enthusiasm for software development. Share why you're excited about joining graphcore specifically, and what you hope to gain from this part-time role. Your motivation and eagerness to learn can really set you apart from the crowd!
How to prepare for a job interview at graphcore
✨Show Off Your Code
Make sure to prepare a few coding samples or projects to share during your interview for the part-time software engineering position at graphcore. Potential employers love to see tangible evidence of your skills, so having a well-organised GitHub profile or portfolio can really make you stand out.
✨Brush Up on Problem Solving
Expect a few technical questions or coding challenges that assess your problem-solving abilities. Companies like graphcore often want to see how you think through a problem, so practise common algorithms and data structures to showcase your thought process and technical know-how.
✨Know Your Tools
Familiarise yourself with the specific programming languages and tools relevant to the role. If the job listing mentions languages like Python or JavaScript, make sure you can discuss your experience with them confidently. Knowing frameworks and libraries they use can give you an edge.
✨Highlight Your Flexibility
Since this is a part-time position, be ready to discuss how you can manage your time effectively and fit the role around your other commitments. Being able to demonstrate your adaptability and proactivity shows that you can balance work, study, or other responsibilities without dropping the ball for graphcore.
