Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Test and develop cutting-edge Machine Learning software in a dynamic environment.
- Company: Join Graphcore, a leader in AI innovation and part of the SoftBank Group.
- Benefits: Enjoy flexible working, competitive salary, generous leave, and health benefits.
- Why this job: Make an impact in AI while collaborating with top talent in a vibrant culture.
- Qualifications: 6+ years in software development, strong Python skills, and a passion for problem-solving.
- Other info: Inclusive workplace with excellent career growth and learning opportunities.
The predicted salary is between 48000 - 72000 £ per year.
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.
Job Summary
Applicants for this role should possess prior experience in software development, as the primary focus will involve testing a Machine Learning (ML) software development stack. The position requires a strong interest in reliability and performance testing, as well as a genuine passion for debugging and problem-solving. Ideal candidates will be self-motivated, enthusiastic, and able to work independently while also being effective communicators who can collaborate with team members. They should also be the type of person who takes initiative and gets things done quickly and efficiently. This opportunity is particularly well-suited for experienced software engineers seeking to gain hands-on exposure to the exciting fields of Artificial Intelligence (AI), ML, and AI accelerator hardware.
The Team
The Software QA team is composed of highly skilled and dedicated software engineers with a strong passion for automation and data analysis. They collaborate extensively with industry-standard machine learning frameworks and models, making contributions to upstream open-source projects. Operating in a dynamic and fast-paced environment, the team consistently delivers high-quality results, ensuring exceptional customer experiences and impactful advancements in the product.
Responsibilities and Duties
- Create representative ML workloads and gain insights from their execution (Numerical accuracy, performance analysis and benchmarking).
- Build Continuous Integration/Delivery (CI/CD) against hardware simulators/emulators and physical hardware.
- Take responsibility for designing and writing tests for projects within the Software team and ML frameworks.
- Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
- Guide the team in industry best practices and improve the team's code quality and technical capabilities.
- Evaluate the effectiveness of existing test strategies and infrastructure and make thoughtful improvements to ensure they continue to support team goals and organizational direction.
Candidate Profile
Essential:
- At least 6 years of experience in production quality software development
- Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field
- Strong proficiency in Python
- Proficiency in C++
- Experience with Linux operating systems
- Must be a fast learner
Desirable:
- Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
- Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
- Experience with hardware architectures or compilers
- Experience with test automation in a CI/CD environment
- Exposure to data analytic methodologies
- Some experience with people management or mentoring
Benefits
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.
Senior Software Engineer employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Graphcore on LinkedIn or other platforms. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and C++ skills. Make sure you can talk about your past projects and how they relate to AI and ML. We want to see your passion for problem-solving and debugging!
✨Tip Number 3
Show off your collaborative spirit! During interviews, highlight times when you worked with teams to improve code quality or implement best practices. We love candidates who can communicate effectively and work well with others.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Graphcore family.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience in software development, especially with Python and C++. We want to see how your skills align with our focus on AI and ML!
Showcase Your Passion: In your cover letter, let us know why you’re passionate about AI and machine learning. Share any personal projects or experiences that demonstrate your enthusiasm for debugging and problem-solving. We love seeing candidates who are genuinely excited about what they do!
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your achievements and skills. We appreciate straightforward communication, so don’t be afraid to get to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Graphcore and our amazing team!
How to prepare for a job interview at Cerebras
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and C++. Brush up on your knowledge of machine learning frameworks like PyTorch and TensorFlow, as they might come up during technical discussions.
✨Show Your Problem-Solving Skills
Prepare to discuss specific examples where you've debugged complex issues or improved software performance. Graphcore values reliability and performance testing, so be ready to share how you've tackled similar challenges in your past roles.
✨Emphasise Collaboration
Since the role involves working closely with various teams, highlight your communication skills and any experience you have in mentoring or guiding others. Be prepared to discuss how you’ve contributed to a culture of quality and maintainability in previous positions.
✨Ask Insightful Questions
Prepare thoughtful questions about Graphcore’s projects, team dynamics, and future goals. This shows your genuine interest in the company and helps you assess if it’s the right fit for you. Plus, it demonstrates that you’re proactive and engaged!
