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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, generous leave, private medical insurance, and more.
- Why this job: Make a real impact in AI while collaborating with top talent in the field.
- Qualifications: 6+ years in software development, strong Python skills, and a passion for problem-solving.
- Other info: Inclusive culture with excellent career growth opportunities and a focus on continuous learning.
The predicted salary is between 48000 - 72000 ÂŁ 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. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoy a culture of continuous learning and constant innovation.
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 Staff Engineer in Cambridge employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Graphcore on LinkedIn. 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!
✨Tip Number 3
Show off your collaborative spirit! During interviews, highlight times when you worked with others to solve complex issues. Graphcore values teamwork, so let them know you’re all about that.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Graphcore family.
We think you need these skills to ace Senior Staff Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Staff Engineer. Highlight your experience in software development, especially in ML and testing, and don’t forget to showcase your proficiency in Python and C++. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and ML, and explain why you’re excited about the opportunity at Graphcore. Let us know how your previous experiences have prepared you for this role and how you can contribute to our team.
Showcase Problem-Solving Skills: Since debugging and problem-solving are key parts of the job, make sure to include examples of challenges you've faced in your previous roles and how you overcame them. We love seeing candidates who take initiative and get things done efficiently!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at Graphcore!
How to prepare for a job interview at Cerebras
✨Know Your Stuff
Make sure you brush up on your software development skills, especially in Python and C++. Familiarise yourself with machine learning frameworks like PyTorch or TensorFlow, as these will likely come up during the interview. Being able to discuss your past projects and how you've tackled challenges in these areas will show your expertise.
✨Show Your Problem-Solving Skills
Since the role involves debugging and performance testing, be prepared to discuss specific examples where you've solved complex problems. Think about times when you had to troubleshoot issues in a CI/CD environment or improve test strategies. This will demonstrate your analytical thinking and initiative.
✨Communicate Effectively
Graphcore values collaboration, so practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that’s easy to understand. This will not only showcase your communication skills but also your ability to work well within a team.
✨Embrace Continuous Learning
Highlight your passion for continuous learning and innovation. Share any recent courses, certifications, or personal projects related to AI or ML that you've undertaken. This shows you're proactive and eager to grow, which aligns perfectly with Graphcore's culture.
