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Performance Modeling Engineer

Flux Computing

London

On-site

GBP 60,000 - 90,000

Full time

2 days ago

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Job summary

Join a leading AI company as a Performance Modeling Engineer in London. You will design and maintain performance models and simulators critical for hardware and software architecture decision-making. This role is ideal for engineers passionate about data-driven insights and innovation in AI.

Benefits

Competitive salary and stock options

Comprehensive healthcare insurance

Private access to in-house 3D printer

£24,000/year incentive for living close

Qualifications

3+ years experience building performance models for CPUs, GPUs, or ASICs.
Strong coding ability in C++ and Python.
Familiarity with machine-learning workloads.

Responsibilities

Design and maintain functional and performance simulators.
Instrument benchmarks to collect detailed traces.
Run design-space explorations and guide software/hardware teams.

Skills

Performance modeling

Data analysis

C++

Python

Machine learning frameworks

Computer architecture fundamentals

Data visualization

Education

Bachelor’s+ in EE, CS, Physics, or Applied Maths

Tools

gem5

SystemC

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Flux Computing designs and manufactures optical processors to train and run inference on large AI models. Join us in London to be part of a highly motivated and skilled team that thrives on delivering impact and innovation at speed.

The Role

We’re searching for a Performance Modeling 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

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

3+ 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.
Competitive salary and stock options in a rapidly growing AI company.
Based in our new 5,000 sq. ft. office in the AI hub of Kings Cross, London.
To foster collaboration in our high-growth environment, we require all employees to work from our London HQ and live within a 45-minute commute. We offer an extra £24,000/year incentive for those living within 20 minutes.
Comprehensive healthcare insurance.
Private access to our in-house 3D printer.

If you are passionate about pushing the boundaries of what's possible in AI and thrive in a high-energy, fast-paced environment, we want to hear from you. Apply now to join Flux and be a key player in shaping the future of computing.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Semiconductor Manufacturing

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