Senior Performance Engineer: AI Systems Optimizer Analytics

CommonAI C.I.C.; Town Of Cambridge; On-site; AUD 132,000 - 208,000; Full time

Benefits offered by this job

Competitive salary package and pension

Professional development opportunities

Networking with tech and academia

Vibrant Cambridge office near train站

Job summary

CommonAI CIC is seeking a Senior Performance Engineer to quantify how AI workloads perform across hardware and software stacks. You will instrument inference and training jobs and build models to forecast effects of optimisations. This role shapes both in-house and member hardware decisions for cost-efficient AI workloads.

You should have a degree in CS or math and experience with profiling tools, CUDA, DL architectures, and Python data analysis. A collaborative, high-impact environment awaits.

Qualifications

• Degree in computer science, mathematics or adjacent field.
• Strong background building models and performance calculators.
• Experience optimizing GPU/accelerator code (e.g., CUDA).
• Solid understanding of DL architecture and inference vs training.
• Proficient with profiling/monitoring tools and dashboards.
• Python for data analysis and scripting (Pandas/NumPy).

Responsibilities

• Instrument and collect granular metrics from inference and training jobs.
• Develop models to forecast system performance under changes.
• Influence hardware purchasing and architectural optimisations.
• Collaborate with AI researchers and software engineers.

Skills

Math modelling

GPU optimisation

DL architecture basics

Profiling tools

Python data analysis

Education

Degree in CS or Mathematics

Tools

NVIDIA Nsight

PyTorch Profiler

Prometheus

Grafana

Pandas

NumPy

Job description

CommonAI CIC is seeking a Senior Performance Engineer to quantify how AI workloads perform across hardware and software stacks. You will instrument inference and training jobs and build models to forecast effects of optimisations. This role shapes both in-house and member hardware decisions for cost-efficient AI workloads.

You should have a degree in CS or math and experience with profiling tools, CUDA, DL architectures, and Python data analysis. A collaborative, high-impact environment awaits.