Performance Engineer: AI Systems & Optimization

CommonAI CIC; Cambridge; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Collaborative environment

High impact in growing org

Competitive salary and pension

Professional development opportunities

Networking with tech & academia

Office near Cambridge train station

Job summary

CommonAI CIC is seeking a Performance Engineer to join a growing team. You will work with AI researchers and software engineers to understand and model performance across inference and training workloads, instrumenting metrics and building predictive models.

You will use these models to forecast the impact of software optimisations and architectural or hardware changes, guiding cost-effective performance improvements and hardware choices for our in-house and member projects.

Qualifications

• Experience building mathematical models and forecasts of system behavior.
• Experience optimising code on GPUs/accelerators (e.g. CUDA).
• Solid understanding of computer architecture and DL inference vs training.
• Proficiency with profiling/monitoring tools (Nsight, PyTorch Profiler, Prometheus, Grafana).
• Python for data analysis (Pandas, NumPy) and scripting.

Responsibilities

• Build and instrument granular performance metrics for inference/training workloads.
• Develop models to predict impact of optimisations on performance and cost.
• Influence hardware purchasing decisions and architectural optimisation based on data.

Skills

Mathematical modeling

CUDA optimization

Python data analysis

Profiling expertise

Performance forecasting with Excel/SS

Tools

NVIDIA Nsight

PyTorch Profiler

Prometheus

Grafana

Job description

CommonAI CIC is seeking a Performance Engineer to join a growing team. You will work with AI researchers and software engineers to understand and model performance across inference and training workloads, instrumenting metrics and building predictive models.

You will use these models to forecast the impact of software optimisations and architectural or hardware changes, guiding cost-effective performance improvements and hardware choices for our in-house and member projects.