At a Glance
- Tasks: Create and own analytical models for cutting-edge optical compute systems.
- Company: Join OLIX, a pioneering tech company revolutionising the future of computing.
- Benefits: Competitive salary, equity options, premium healthcare, and generous time off.
- Why this job: Be at the forefront of technology, shaping the next generation of computing.
- Qualifications: 5+ years in performance modelling with strong coding skills in C++ and Python.
- Other info: Enjoy a dynamic workspace with elite hardware and a supportive team culture.
The predicted salary is between 147000 - 201000 £ per year.
About OLIX
OLIX 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 bank holidays.
The Workspace & Tech
- Elite Hardware: M4 Macs come as standard, with M4 Pro upgrades for our engineering team. We will provide whatever you need to do your best work.
- Optimal Environment: High-spec noise-cancelling headphones and a fully ergonomic workstation designed for deep focus.
- Rapid Prototyping: Access to our high-performance 3D printing lab for work, experimentation, and personal creative projects.
Life at the Office
- Chef-prepared meals: if you need to work late.
- Caffeine on Us: We’ve got you covered with a tab at our favourite local coffee shop.
Relocation & Global Mobility
- Visa Sponsorship: We hire the best in the world. We offer full UK and international visa sponsorship.
- Seamless Relocation: Whether you’re moving across the country or across the globe, our dedicated relocation partner provides funding and concierge support to get you settled.
Due to U.S. export control regulations, candidates’ eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.
Senior AI Performance Modeller employer: Olix Computing
Contact Detail:
Olix Computing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Performance Modeller
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with OLIXAI employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to performance modelling or machine learning. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by diving deep into OLIXAI's technology. Understand the Optical Tensor Processing Unit (OTPU) and be ready to discuss how your experience aligns with their goals. Knowledge is power!
✨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 being part of the OLIXAI team.
We think you need these skills to ace Senior AI Performance Modeller
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 you fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about OLIX and how your background aligns with our mission. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Projects: If you've worked on personal or open-source projects related to simulators or performance analysis, make sure to include them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
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 shows you’re keen on joining our team at OLIX!
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 cycle-accurate simulators like gem5 or SystemC, as well as your coding skills in C++ and Python.
✨Showcase Your Projects
Bring examples of your personal or open-source projects that relate to performance analysis or machine learning workloads. This will not only demonstrate your passion but also give you a chance to discuss your hands-on experience in a practical context.
✨Prepare for Technical Questions
Expect to dive deep into computer architecture fundamentals during the interview. Brush up on topics like memory systems, queuing theory, and Amdahl/Gustafson analysis, as these are likely to come up in discussions about architectural trade-offs.
✨Communicate Clearly
Practice how to present complex data in a simple way. You might need to turn millions of simulation samples into clear, decisive insights, so being able to communicate your findings effectively is key. Think about how you can make your analyses visually engaging too!