Flux Computing builds optical processors to speed up AI training and inference with lower energy use. They develop Optical Tensor Processing Units and other optical chips that rely on light-based circuits, integrated with supporting electronics and control software, and connected to AI frameworks. This positions them as a hardware provider for data centers and research environments handling large models. Category: B2B hardware for AI workloads; integrates with common AI frameworks and data-center tooling. The company targets scalable deployments in enterprises and labs pursuing advanced AI research and production workloads.
Flux Computing builds optical processors to speed up AI training and inference with lower energy use. They develop Optical Tensor Processing Units and other optical chips that rely on light-based circuits, integrated with supporting electronics and control software, and connected to AI frameworks. This positions them as a hardware provider for data centers and research environments handling large models. Category: B2B hardware for AI workloads; integrates with common AI frameworks and data-center tooling. The company targets scalable deployments in enterprises and labs pursuing advanced AI research and production workloads.
The Role
We’re searching for a Staff 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
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Ownership: Define and deliver the technical vision and roadmap for your team that unlocks key strategic technical and business goals that are essential to the success of Flux.
Collaboration: Partner closely with all engineering teams to help shape our overall system architecture and delivery while ensuring models reflect reality and reality meets performance goals.
Champion Modelling: Educate peers on modelling methodology and champion data-driven design culture.
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.
Design-Space Exploration: Run massive parameter sweeps with your functional and to understand tradeoffs and guide the software, hardware, and optical teams.
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
7+ years building performance or power models for CPUs, GPUs, ASICs, or accelerators.
Proven track record providing technical leadership to a team of 5~10 engineers, resulting in significant business impact.
Strong coding ability in C++ and Python; experience with discrete-event or cycle-accurate simulators (e.g., gem5, SystemC, custom in-house).
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
Starting salary: £208,000+ depending on experience, skills, and location.
Competitive stock options, you’re not just part of the journey, you will own a piece of it.
Work from our HQ in King’s Cross, right in the middle of London’s buzzing AI scene.
Live within 45 minutes of the office? Perfect. Live within 20 minutes? We’ll add an extra location bonus to your salary.
We offer visa sponsorship and full relocation support (UK and abroad), through a dedicated third-party provider who are on hand to make your move to London as seamless as possible.
Full BUPA healthcare and dental cover, medical history disregarded.
High-spec tech for everyone - M4 Macs as standard, M4 Pros for Engineers.
Sony noise-cancelling headphones and ergonomic setups to keep you comfortable and focused.
Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow.
Healthy, chef-cooked dinners in the office every night, with something for every diet and tastebud.
Monthly off-site team socials.
25 days of paid holiday, plus all the UK bank holidays.
Access to our in-house 3D printer for personal or work projects.
Cycle2work scheme.
Need a caffeine fix? We’ve got you covered with a tab at our favourite local coffee shop.
We offer a pension plan and salary sacrifice options.
Due to U.S. export control regulations, candidates’ eligibility to work at Flux 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.
We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.
