As an NVIDIA Cloud and Engineering partner in Asia Pacific, you will gain skills, experience, and exposure across the AI industry and be part of shaping what this industry looks like for decades to come.
We are founder-led, not a big corporate. Decisions happen fast, our leaders are accessible, and there’s minimum bureaucracy between you and the work. Ownership comes early. Whatever your role, you will have a direct line to outcomes, helping shape how the business grows as we scale nationally across a long-term, large-scale roadmap.
Work alongside founders and experts in AI infrastructure, energy systems and next-generation compute.
What we build here has impact beyond the business. Our AI Factories are designed to operate as assets to the energy grid to actively strengthen the communities and regions they operate in rather than drawing from them.
Considering applying? You don’t need a perfect background to join our team. If you’re driven and curious, there’s a path for you. We back our people to grow into new domains and take on challenges beyond their previous experience.
The UX Engineer will define and deliver intuitive, coherent, and technically credible user
experiences across the AI & Applications team’s internal and external product portfolio. The
role will shape how users discover, provision, operate, optimize, and troubleshoot AI
infrastructure and AI-powered services through products such as the AI Cloud Portal, Global
Operations Console, Bare Metal as a Service, Kubernetes as a Service, and future X-as-a-Service
offerings.
This role sits at the intersection of user experience design, front-end engineering, product
thinking, and AI-platform understanding. The UX Engineer will translate complex infrastructure
and AI capabilities—including GPU capacity, bare-metal provisioning, Kubernetes clusters,
workload scheduling, benchmark results, model recipes, inference services, Model-to-Grid
optimization, and agentic operations—into clear workflows, understandable interfaces, and
actionable experiences for customers, developers, AI researchers, support teams, operators,
and internal delivery teams.
A central focus will be making sophisticated AI-factory capabilities usable. The UX Engineer will
help users understand and act on model-to-grid recommendations, scheduler decisions,
workload placement, cluster health, benchmark outcomes, capacity availability, performance
bottlenecks, inference cost, energy or power signals, and agent-generated operational insights.
The role will ensure that advanced automation remains transparent, controllable, auditable,
and trustworthy—particularly where agentic systems recommend or execute actions.
The UX Engineer will report to the Head of AI & Applications, working closely with other AI
engineers, DevOps and scheduler engineers, inference and optimization engineers, platform,
infrastructure, security, global operations, and customer-facing teams. The role will create a
scalable design system and product experience that supports both immediate platform needs
and future AI-factory and XaaS product expansion.