Solutions Architect

Firmus Technology

Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. 

Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability.

At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally.

Firmus AI Cloud

Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers.

It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale.

Role Summary

We are seeking a Principal Solution Architect, AI Data Infrastructure to serve as Firmus’s subject-matter expert on everywhere data lives and moves across the AI fabric—storage, memory, and the caching layers that keep GPUs fully utilised. You will own the architecture, evaluation, and optimisation of the systems that feed our AI Factory and Firmus AI Cloud, from high-performance parallel and software-defined storage, through NVMe and next-generation memory fabrics, to the KV-cache and data-movement paths that determine real training and inference performance. In a business built on making every watt count, your job is to make every byte count with it.

You will operate as the trusted technical authority across both internal engineering teams and external customers – translating complex data-path decisions into measurable performance, capacity, and TCO outcomes. Whether validating a customer’s workload requirements or shaping our own platform roadmap, you’ll be the person who understands the principles deeply enough that specific vendors and brands are secondary to the architecture.

Key Responsibilities

You’ll own the reference architecture for the AI data path end to end—parallel and software-defined storage, NVMe and NVMe-oF, object and file systems, memory disaggregation and pooling, and the KV-cache and data-movement strategies that eliminate bottlenecks between storage, memory, and GPUs. You’ll evaluate, benchmark, and select technologies against real AI workloads, turning results into clear decisions on performance, capacity, power efficiency, and total cost of ownership.