Careers
These roles are tied to the planned AI infrastructure build. Hiring moves in step with the phases above.
We are hiring engineers to build and operate GPU infrastructure in Sydney. Three roles are open. Each expands.
Senior GPU Infrastructure Engineer
Responsibilities
- Deploy, operate and scale our planned NVIDIA B300 GPU platform
- Build the fabric networking, storage and orchestration layers
- Implement burn-in testing, acceptance standards and 24×7 monitoring
- Hold availability and SLA commitments for inference services
Requirements
- 3+ years in GPU infrastructure, MLOps or data centre operations
- Hands-on with NVIDIA GPU servers, CUDA and Kubernetes
- Experience orchestrating multi-node GPU clusters
Machine Learning Engineer — LLM & Inference
Responsibilities
- Fine-tune and deploy large language models in the 7B–70B range
- Optimise inference: KV-cache, quantisation, dynamic batching
- Build real-time streaming inference pipelines
Requirements
- 3+ years in LLM training, fine-tuning (LoRA / QLoRA) and production inference
- Proficient in Python and PyTorch
- vLLM or TensorRT-LLM in production
Multi-Modal AI Engineer
Responsibilities
- Build diffusion-based image generation pipelines
- Optimise text-to-image inference for latency and throughput
Requirements
- 2+ years with diffusion models and text-to-image systems
- Proficient in Python, PyTorch and Diffusers
How to apply
Send your resume to business@itsafety.com.au. Include a brief note on the kind of client projects you would like to work on.