4 jobs for "GPU Systems Engineer"

Regional technical authority for next-generation AI and HPC infrastructure, owning technical strategy, solution architecture, customer engagement, and
ecosystem development for advanced liquid cooling technologies across hyperscale, enterprise AI, and HPC deployments. Recognized as a trusted technical
advisor to consultants, hyperscalers, Specialized Datacentre EPCs, engineering firms, and strategic customers covering full project technical lifecycle - from
specification and technology selection to tendering, value engineering, Ecosystem upskilling and award.

2.1 Technical Leadership
• Act as regional technical authority for AI-ready DC infrastructure and liquid cooling; lead technical development of AI/HPC projects requiring high-density
environments.
• Define/ Deploy reference architectures and best practices; establish technical governance for liquid cooling deployment; support executive leadership on
technology strategy and competitive positioning.

2.2 AI & Liquid Cooling Expertise
• Direct-to-Chip (D2C), Rear Door Heat Exchangers (RDHx), Immersion Cooling, TCS and Secondary Network Heat (SFN) loops, CDU architecture & facility heat
exchanger FWS design .
• Glycol/water loop engineering, hydraulic balancing, pumping systems, thermal management, heat rejection, water/ Mix Liquid quality management, facility
hydraulic integration.
• Optimize air/liquid capture ratio, air-to-hybrid transition strategies, AI rack thermal management, high-density racks (>80-150+ kW/rack), thermal resilience,
redundancy and energy efficiency.

2.3 AI Infrastructure Design
• Lead design for AI Pods, GPU clusters, NVIDIA HGX/MGX, NVL platforms, large GPU clusters, HPC and AI Factory architectures, high-density white space.
• Rack architecture, containment, high-performance airflow, power distribution integration, 800VDC-ready infrastructure, busbar systems, AI-ready POD
compute topology, mechanical-electrical integration.

2.4 Presales & Specification Leadership
• Support Sales, coach BD teams, enable Presales, influence consultants, engineering firms, EPC / DCS contractors, hyperscalers and AI ecosystem partners.
• Lead specification development, design reviews, technology positioning, competitive differentiation, customer workshops, executive presentations and
design validation.

2.5 Tendering & Value Engineering
• Own the full technical tendering process: qualification, architecture validation, risk assessment, design optimization, compliance review, value/cost
engineering, technical negotiations, bid defense, customer clarifications and final technical approvals through to award.

2.6 Customer & Ecosystem Engagement
• Build trusted relationships with hyperscalers, enterprise customers, AI infrastructure providers, consultants, design institutes, EPC/mechanical contractors
and channel partners.
• Represent the organization at executive workshops, industry conferences, technical seminars, customer advisory sessions and AI technology forums.

3. Required Competencies & Technical Expertise
AI Infrastructure:
GPU infrastructure, HPC architecture, AI Factory design, large-scale AI
clusters, rack density optimization, thermal management, AI-ready
electrical infrastructure.

Critical DC Infrastructure
Tier III/IV architectures, white space & containment, precision cooling,
chilled water, CRAH/CRAC, in-row cooling, RDHx, high-availability
mechanical systems, mission-critical redundancy. DC infrastructure Digital Twin, Desing simulation, DCS Software stack

Liquid Cooling
Direct Liquid Cooling & Immersion Cooling, TCS/SFN, CDU technologies,
heat exchangers, hydraulic systems, pumping stations, thermal
modeling/CFD, heat recovery concepts.

Electrical Distribution
800VDC technologies, High density Power train architecture, integrated
Compute critical infrastructure AI POD Skid .

Industry knowledge: Vertiv, ABB, Schneider Electric, Carrier, Johnson Controls, STULZ, Munters, LiquidStack, CoolIT Systems, Motivair, Boyd, Submer, GRC, nVent,
Delta Electronics, Huawei Digital Power, Equinix reference architectures, NVIDIA AI Infrastructure ecosystem.

• 12-15+ years in mission-critical data center infrastructure; minimum 7 years dedicated to high-density cooling technologies.
• Demonstrated experience on AI/HPC infrastructure projects and proven expertise in liquid cooling architecture and deployment.
• Extensive experience leading technical tendering and value engineering; strong customer-facing experience with hyperscalers, enterprise accounts, EPCs and
consulting firms.
• Demonstrated success influencing technical specifications and securing major infrastructure projects.
• Recognized technical authority for AI cooling technologies; mentor regional presales/engineering organizations; build technical competency and drive
innovation and technology adoption across the region.
• Deliver: regional AI/liquid cooling technical strategy, standardized AI reference architectures, technical enablement of sales/BD/presales, consultant and
specification engagement plans, and technical ownership of strategic AI opportunities.
• Deliver: end-to-end tendering and value engineering leadership, regional design guidelines and enginee

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€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

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About Schneider Electric

Size: 10,000+ employees
Industry: Manufacturing

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