At a Glance
- Tasks: Collaborate with AI researchers to optimise software performance and develop predictive models.
- Company: Join CommonAI CIC, a non-profit focused on responsible AI development.
- Benefits: Enjoy a competitive salary, professional growth, and a vibrant office near Cambridge station.
- Other info: Network with industry leaders and contribute to innovative AI projects.
- Why this job: Make a real impact in the AI field while working in a supportive environment.
- Qualifications: Experience in performance modelling, GPU optimisation, and Python for data analysis.
The predicted salary is between 63000 - 77000 £ per year.
Common AI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies.
A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
We are seeking a Performance Engineer to join our rapidly growing team.
In this role, you will work with AI researchers and software engineers to build up a detailed understanding of how their applications are performing.
You will instrument and collect granular metrics from inference and training jobs and use that information to develop sophisticated mathematical models that predict how software optimisations and architectural or hardware changes will impact system performance.
Your work will directly influence both our in-house and member's hardware purchasing decisions and architectural optimisations, ensuring teams can run AI workloads efficiently and cost-effectively.
Requirements
- Experience building insightful mathematical models and performance calculators (Excel/Google Sheets or Python modeling experience) to forecast system behavior.
- Optimisation of code running on GPUs and/or other accelerators (e. g. CUDA).
- Solid understanding of computer architecture fundamentals and how LLMs and Deep Learning models execute on that hardware (inference vs. training, matrix multiplication, KV-caching, etc.).
- Proficiency with profiling tools (NVIDIA Nsight, Py Torch Profiler) and monitoring stacks (Prometheus, Grafana).
- Capability to work in Python for data analysis (Pandas, Num Py) and scripting.
- The Following Are Also Highly Valued
- Post-graduate degrees and research experience in relevant fields (please list your publications).
- Deep understanding of inference serving frameworks (e. g. v LLM).
- Background in statistical analysis.
- Contributions to open source and/or research projects.
Benefits
- A collaborative and supportive work environment
- The opportunity to have a high impact in a growing organisation
- Competitive salary package and pension
- Professional development opportunities
- Networking opportunities with influential people from across the tech sector and academia
- A vibrant office environment located a few minutes' walk away from Cambridge train station
- #J-18808-Ljbffr
Performance Engineer in Cambridge employer: CommonAI CIC
CommonAI CIC in Cambridge is an exceptional employer, offering a dynamic and collaborative work culture where innovation thrives. As a Software Engineer, you'll not only enjoy a competitive salary but also have ample opportunities for professional growth while working on groundbreaking AI technologies that make a real difference in regulated sectors. Join us to be part of a team that values creativity and impact, all within the vibrant tech hub of Cambridge.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Engineer in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CommonAI CIC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Performance Engineer at CommonAI CIC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CommonAI CIC.
✨Apply Directly through Our Website
When you find a suitable opening like Performance Engineer at CommonAI CIC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Performance Engineer in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CommonAI CIC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CommonAI CIC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CommonAI CIC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CommonAI CIC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
