Hyperscale AI Systems Engineer

About this role

Hyperscale AI Systems Engineer

USA (Remote) | $150,000–$180,000 + Benefits

Shape the future of hyperscale AI infrastructure.

An opportunity has arisen for an experienced Hyperscale AI Systems Engineer to help define and influence the next generation of AI cluster and data centre technologies.

This is a strategically important position focused on the evolution of hyperscale AI infrastructure, spanning Co-Packaged Optics (CPO), silicon photonics, optical interconnects, networking and advanced compute architectures.

Working across engineering, R&D and industry partnerships, you will help establish technology roadmaps, influence emerging standards and advise senior leadership on the innovations shaping tomorrow's AI factories.

Key Responsibilities

• Define, own and maintain the technical roadmap for hyperscale AI cluster solutions, covering CPO, optical interconnects, networking and compute architectures.
• Monitor developments and product roadmaps across GPU, silicon photonics and optical technologies, translating emerging trends into actionable R&D strategies.
• Maintain an in-depth understanding of AI cluster and data centre architectures, including scale-up/scale-out fabrics and rack-to-data-centre-scale system design.
• Represent the business at industry forums, technical working groups and strategic partner engagements.
• Deliver technical presentations, keynotes and customer briefings, acting as a technical representative within the industry.
• Engage with standards bodies and industry consortia to influence emerging optics, interconnect and networking standards.
• Develop strategic ecosystem partnerships and identify opportunities for collaboration and co-innovation.
• Advise executive and R&D leadership on technology investment, build-versus-partner decisions and long-term AI infrastructure strategy.

Experience & Background

- Extensive experience in hyperscale data centres, AI infrastructure, high-performance computing or advanced networking.
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