Flux Computing · 1 month ago
Staff Performance Modelling Engineer
San Francisco
Full-time
Onsite
Senior Level, Lead/Staff
£167K/yr - £204K/yr
7+ years expFlux Computing is seeking a Staff Performance Modelling Engineer to create and own analytical and simulation models that guide OTPU architecture and software evolution. The role involves building functional simulators and high-fidelity models for optical compute systems, contributing to data-driven decision-making and performance analysis.
Artificial Intelligence (AI)HardwareMachine LearningManufacturingOptical Communication
Responsibilities
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
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
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
Qualification
Required
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)
Strong 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
Preferred
Advanced degree preferred but not required
Personal or open-source projects in simulators, ML kernels, or performance analysis are a significant plus
Benefits
Competitive stock options, you’re not just part of the journey, you will own a piece of it.
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.
Company
Flux Computing
Flux Computing designs optical AI accelerators that use light-based processors for training and inference on large models.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase