Solutions Architect - MEP
NVIDIA is hiring a Solutions Architect - MEP for a remote role open to applicants in Australia. Level rates it ; you can apply on Level.
AI in this role
We are currently seeking a Senior MEP / Datacenter Infrastructure Engineer to join our ANZ SA team. At NVIDIA, we are leading the AI computing revolution, delivering deep learning and high‑performance computing solutions that power many of the world’s largest and fastest data centers and supercomputers, especially through our Neo Cloud program. As a member of our team, you will play a vital role in planning, designing, and deploying AI/HPC data center infrastructure with a strong focus on power, cooling, and telemetry/control systems, as well as a strong background working with the Land/Power/Shell Data Center ecosystem from inception and design to deployment. If you have a strong passion for mission‑critical facilities, data center MEP design, and a successful history of engaging with customers and partners on complex infrastructure deployments, this is an excellent opportunity to make a substantial contribution.
What you’ll be doing:
- Lead end‑to‑end planning and deployment of AI/HPC data centers, from concept and reference design through construction, commissioning, and go‑live, ensuring infrastructure aligns with NVIDIA reference architectures and operational requirements.
- Collaborate with product and engineering teams to understand NVIDIA’s guidance for data center infrastructure (DSX), including power distribution, liquid/air cooling, controls and monitoring, and network/cabling architecture, and translate this rapidly into robust, scalable customer designs.
- Review and evaluate customer and partner design packages (architectural, electrical, mechanical, controls), ensuring consistency with NVIDIA reference architectures, industry standards, and regulatory requirements, and provide recommendations to improve performance, scalability, cost‑effectiveness, and sustainability.
- Develop and implement comprehensive pre‑deployment audit plans to assess the readiness, reliability, and efficiency of data center infrastructure components prior to AI/HPC cluster deployment, identifying risks and mitigation actions early.
- Oversee construction, integration, and bring‑up activities, working closely with contractors, OEMs, service providers, and customers to resolve infrastructure issues and ensure on‑time, high‑quality delivery.
- Establish and drive quality assurance and commissioning processes for power systems, liquid/air cooling systems, rack/server power and cooling integration, telemetry, and control systems to validate functionality and performance against design specifications and benchmarks.
- Act as the key liaison and domain expert for customers and partners on all data center infrastructure topics, facilitating productive technical discussions and ensuring clear alignment from planning through steady‑state operations.
- Develop and sustain a strong ecosystem of design firms, contractors, integrators, and service providers to enable rapid, reliable deployment of NVIDIA solutions globally.
- Mentor and guide Infra SA team members and partner engineering teams, sharing best practices in MEP design, data center operations, and deployment methodologies to ensure overall program success.
- Drive continuous improvement initiatives across infrastructure design and processes, identifying opportunities to increase reliability, resilience, efficiency, and automation in AI/HPC data centers.
What we need to see:
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field; an advanced degree, equivalent experience, or relevant certifications is preferred.
- 5+ years of overall experience in enterprise and/or hyperscale data centers with a focus on MEP design, construction, and deployment for high‑density AI/HPC or mission‑critical environments.
- Proven experience in data center engineering, operations, or infrastructure management roles, with responsibility for large‑scale deployments and cross‑functional coordination.
- Strong technical knowledge of data center systems, including power distribution (UPS, switchgear, PDUs, rack power), liquid/air cooling (chillers, CDU, CRAH/CRAC, direct‑to‑chip or immersion), rack/server mechanical and power integration, and structured cabling for high‑density deployments.
- Demonstrated technical and project leadership in fluid, rapidly changing environments, with the ability to drive complex programs from design through commissioning and hand‑off.
- Excellent analytical and problem‑solving skills, with a keen attention to detail and a strong commitment to quality and operational excellence.
- Effective communication and interpersonal skills, with the ability to engage expertly with diverse stakeholders including customers, partners, contractors, and internal engineering teams, and to lead productive technical discussions.
- Strong organization and time‑management capabilities, able to plan, schedule, and coordinate multiple infrastructure projects and tasks to meet or exceed agreed timelines.
- Willingness to travel up to customer sites, partner facilities, and NVIDIA data center locations as required.
Ways to stand out from the crowd:
- Experience with data center operations processes, safety practices, and security measures in enterprise or hyperscale environments.
- Solid understanding of the full data center infrastructure stack, from building shell and core through power, cooling, racks, cabling, and monitoring/controls for AI/HPC platforms.
- Background working closely with server and rack manufacturers, integrators, and colocation providers on high‑density deployments.
- Outstanding interpersonal skills, with a track record of building long‑term relationships with customers, partners, and internal stakeholders and serving as a trusted technical advisor.
How we rate this
Solutions Architect - MEP at NVIDIA rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Pay
- Typical solutions architect job
- $168k
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