At a Glance
- Tasks: Lead the development of a cutting-edge simulation toolkit for AI systems.
- Company: Join CommonAI, a pioneering tech company transforming AI solutions.
- Benefits: Enjoy competitive salary, healthcare, and networking opportunities in a vibrant office.
- Other info: Be part of a diverse team in a rapidly growing, well-funded organisation.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: Proven leadership in technical projects and deep knowledge of AI systems required.
The predicted salary is between 80000 - 100000 £ per year.
Common AI is redefining deep-tech AI solutions through collaborative engineering and shared infrastructure.
Working at the intersection of AI, cloud, and large-scale infrastructure, we partner with commercial, government, and research entities to accelerate AI adoption across the UK and Europe.
Backed by UK Government and private funding, our team of experienced founders and engineers is building the future of AI systems.
The Role
As AI models scale, understanding the real-world impact of hardware, systems software, and architecture on performance, cost, and energy is critical.
Common AI’s £70m+ Scaling Inference programme is developing a comprehensive simulation toolkit to model inference systems across the stack.
We are seeking a Project Technical Lead to spearhead this initiative.
In this leadership role, you will define the technical strategy for our simulation platform, coordinating cross-functional workstreams to bridge the gap between hardware architecture and model workloads.
You will be responsible for the programme's overall technical direction, setting standards for excellence, and ensuring the research outputs align with our strategic mission.
Key Responsibilities
- Technical Strategy & Vision: Own the architectural roadmap for the Scaling Inference simulation platform, ensuring technical decisions support long-term goals.
- Workstream Coordination: Manage and synchronise development efforts across hardware, software, and model workload workstreams to deliver a cohesive simulation toolkit.
- Technical Standards & Quality: Establish and enforce engineering best practices, rigorous validation methodologies, and performance standards across the team.
- Stakeholder
Management: Act as the primary technical point of contact for the Scaling Inference programme, communicating progress and technical risks to senior leadership and partners.
- Mentorship & Growth: Provide technical guidance and mentorship to research engineers, fostering a culture of innovation and continuous professional development.
- Project Delivery: Lead the planning and execution of experimental cycles, ensuring the Scaling Inference Lab outputs are integrated into the core platform efficiently.
- Resource Allocation: Prioritise technical tasks and research questions to maximise programme impact on cost, performance, and energy efficiency targets.
- Documentation: Communicate findings through technical reports, internal publications, and external research outputs.
Requirements
- Technical Leadership: Proven experience leading technical teams or managing complex engineering projects in a research or high-growth environment.
- Strategic Communication: Ability to translate complex technical concepts for diverse stakeholders and influence technical strategy at a programme level.
- Advanced degree (Ph D preferred) in Computer Science, Engineering, or a related field with deep domain knowledge in AI systems and hardware architecture.
- Track record of delivery, moving sophisticated technical prototypes through to production-grade, scalable systems.
- Experience with GPU optimisation, performance modelling, and the simulation of large-scale infrastructure workloads.
- Experience managing cross‑functional teams in AI infrastructure, ML systems, or computer architecture.
- Familiarity with Agile or other modern technical project management frameworks.
- Knowledge of modern inference‑serving frameworks (e. g., v LLM).
- Background in statistics, operations research, or large‑scale datacenter infrastructure.
- Contributions to open‑source AI or systems projects.
- High‑impact role in a rapidly growing, well‑funded organisation.
- Collaborative and supportive work environment.
- Competitive salary, pension, healthcare, and benefits.
- Networking opportunities with leaders across tech and academia.
- Vibrant office situated near to Cambridge train station.
Common AI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
- Project Technical Lead - AI Systems Simulation • Cambridge, England, GB
- #J-18808-Ljbffr
Project Technical Lead - Ai Systems Simulation in England employer: CommonAI C.I.C.
CommonAI CIC is an exceptional employer that fosters a collaborative and supportive work environment, perfect for those passionate about AI technology. As a Performance Engineer, you will have the opportunity to make a significant impact within a rapidly growing non-profit organisation, while enjoying competitive salary packages, professional development opportunities, and networking with influential figures in the tech sector and academia. Located just minutes from Cambridge train station, our vibrant office offers a unique advantage for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Project Technical Lead - Ai Systems Simulation in England
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CommonAI C.I.C. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CommonAI C.I.C..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CommonAI C.I.C..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CommonAI C.I.C. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Project Technical Lead - Ai Systems Simulation in England
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CommonAI C.I.C..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CommonAI C.I.C. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CommonAI C.I.C.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CommonAI C.I.C. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
