Senior AI Performance Modeller in London
Senior AI Performance Modeller

Senior AI Performance Modeller in London

London Full-Time 104000 - 244000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create and own analytical models for cutting-edge optical compute systems.
  • Company: Join OLIX, a pioneer in AI technology and optical processing.
  • Benefits: Competitive salary, equity options, premium healthcare, and generous time off.
  • Why this job: Be at the forefront of AI innovation and shape the future of computing.
  • Qualifications: 5+ years in performance modelling with strong C++ and Python skills.
  • Other info: Dynamic team environment with opportunities for impactful contributions.

The predicted salary is between 104000 - 244000 £ per year.

About OLIX

AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. OLIX is building this next paradigm; the Optical Tensor Processing Unit (OTPU) achieves performance and energy efficiency that is impossible to match from existing chips.

The Role

We are searching for a Senior Performance Modelling Engineer to create and own the analytical and simulation models that steer OTPU architecture and software evolution. You will build functional simulators as well as high-fidelity, cycle-accurate models of our optical compute system. This role is critical to explore "what-if" design spaces, and deliver insights that directly influence our software, hardware, and optical roadmaps. This role sits at the crossroads of hardware architecture, software tooling and machine-learning workload analysis, perfect for an engineer who loves data-driven decision-making and fast iteration.

Responsibilities

  • Project Ownership: Own and deliver projects on your team’s roadmap that unlock key high-impact technical and business milestones that drive the success of OLIX.
  • Collaboration: Work shoulder-to-shoulder with hardware, compiler and ML framework teams to ensure models reflect reality and reality meets performance goals.
  • Functional Simulator: Design, build, and maintain a functional simulator of the OPTU subsystem and full pipeline.
  • Performance Simulator: Design and maintain architectural & cycle-accurate models of the OPTU subsystems and pipeline. Identify throughput, latency and utilisation hot-spots; propose architectural, or scheduling fixes.
  • Workload Analysis & Bottleneck Hunting: Instrument benchmarks (LLMs, diffusion, graph workloads) to collect detailed traces.
  • Design-Space Exploration: Run massive parameter sweeps with your functional and to understand tradeoffs and guide the software, hardware, and optical teams. Package results into clear, quantitative analyses and design recommendations.
  • Tooling & Automation: Develop Python/C++ tooling for trace parsing, statistical analysis and visualisation. Integrate models into CI so that every RTL commit gets a performance smoke test.

Skills & Experience

  • 5+ years building performance or power models for CPUs, GPUs, ASICs, or accelerators.
  • Strong coding ability in C++ and Python; experience with discrete-event or cycle-accurate simulators (e.g., gem5, SystemC, custom in-house).
  • Solid grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis.
  • Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX).
  • Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers.
  • Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide.
  • Bachelor's+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required.
  • Personal or open-source projects in simulators, ML kernels, or performance analysis are a significant plus.

Compensation & Benefits

  • Competitive Salary: £174,000+, commensurate with your experience, skills, and location.
  • Equity & Ownership: Meaningful stock options. You’re not just joining the mission; you’re owning a piece of it.
  • Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer a £24k annual Living-Local Bonus if your residence is within 20 minutes of the office.

Health & Wellbeing

  • Premium Healthcare: Comprehensive BUPA medical and dental cover, including Medical History Disregarded (MHD), for complete peace of mind.
  • Time Off: 25 days of annual leave, plus all UK public holidays.

Senior AI Performance Modeller in London employer: Olix Computing

At OLIX, we are at the forefront of AI technology, offering a dynamic work environment that fosters innovation and collaboration. As a Senior AI Performance Modeller, you will have the opportunity to work on groundbreaking projects that shape the future of optical computing, while enjoying competitive salaries, meaningful equity options, and a generous Living-Local Bonus to enhance your work-life balance. Our commitment to employee wellbeing is reflected in our comprehensive healthcare benefits and supportive culture, making OLIX an exceptional place for talented engineers looking to make a significant impact.
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Contact Detail:

Olix Computing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Performance Modeller in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at OLIX. A friendly chat can open doors that a CV just can't. Use LinkedIn or even attend industry events to make those connections.

✨Tip Number 2

Show off your skills! If you’ve got personal projects or open-source contributions, flaunt them. Create a portfolio that highlights your work with performance modelling and simulations. It’s a great way to demonstrate your expertise beyond the application.

✨Tip Number 3

Prepare for the interview like it’s the Super Bowl! Research OLIX thoroughly, understand their OTPU tech, and be ready to discuss how your experience aligns with their needs. Practice common interview questions and have your own ready to show your interest.

✨Tip Number 4

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 being part of the OLIX team. Don’t miss out on this opportunity!

We think you need these skills to ace Senior AI Performance Modeller in London

Performance Modelling
Analytical Skills
Simulation Modelling
C++ Programming
Python Programming
Discrete-Event Simulation
Cycle-Accurate Simulation
Computer Architecture Fundamentals
Machine Learning Workload Analysis
Data Visualisation
Communication Skills
Project Ownership
Collaboration
Tooling Development
Statistical Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior AI Performance Modeller role. Highlight your experience with performance modelling, coding in C++ and Python, and any relevant projects that showcase your skills. We want to see how your background aligns with what we're building at OLIX!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the optical compute system and how your expertise can contribute to our mission. Keep it concise but impactful – we love a good story that connects your journey to our goals.

Showcase Your Projects: If you've worked on personal or open-source projects related to simulators or performance analysis, make sure to mention them! We appreciate hands-on experience and innovative thinking, so don’t hold back on sharing your achievements and insights.

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 OLIX and what we stand for!

How to prepare for a job interview at Olix Computing

✨Know Your Stuff

Make sure you brush up on your knowledge of performance modelling, especially in relation to CPUs, GPUs, and ASICs. Be ready to discuss your experience with tools like gem5 or SystemC, and how you've applied them in past projects.

✨Showcase Your Coding Skills

Since strong coding ability in C++ and Python is crucial for this role, prepare to demonstrate your skills. You might be asked to solve a coding problem or explain your approach to developing tooling for performance analysis.

✨Prepare for Technical Questions

Expect questions that dive deep into computer architecture fundamentals and machine-learning workloads. Brush up on concepts like memory systems and queuing theory, and be ready to discuss how they relate to the OTPU architecture.

✨Communicate Clearly

You’ll need to turn complex data into clear insights, so practice explaining your past projects and findings succinctly. Use visuals if possible, as being able to communicate effectively is key to influencing teams at OLIX.

Senior AI Performance Modeller in London
Olix Computing
Location: London

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