AI Infrastructure Engineer – Emerging Technologies

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CoLogix Analytics

WebsiteLinkedInAlle Stellen

1 - 10 Mitarbeiter

Gegründet 2013

🏥 Gesundheitswesen

💼 Beratung

📦 Logistik

Healthcare • Consulting • Logistics

CoLogix Analytics ist ein Gesundheits-Technologieunternehmen mit Sitz in Hyderabad, das die CanScan OralAI-Plattform für die Früherkennung von Mundkrebs entwickelt. Die Plattform nutzt fortschrittliche künstliche Intelligenz und maschinelles Lernen (einschließlich CNN-basierter Bildanalyse), um intraorale Fotografien und Speichelproben zu analysieren, wodurch nicht-invasive, zugängliche Screenings und detaillierte Analyseberichte erstellt werden, um Kliniker bei der Diagnose und Behandlungsplanung zu unterstützen. CoLogix konzentriert sich darauf, den Zugang zu Diagnosen durch eine benutzerfreundliche, KI-gesteuerte Softwareplattform zu demokratisieren, die für weit verbreitete klinische und gesellschaftliche Screenings konzipiert ist.

Beschreibung

• Support the VP of Technology Engineering & Innovation in evaluating emerging AI infrastructure technologies and future-ready data center strategies. • Analyze AI workload characteristics including: Training vs. inference workloads, GPU utilization patterns, Dynamic workload fluctuations, Rack-level power variability, Networking and latency requirements. • Assess implications of AI workload behavior on infrastructure resiliency, scalability, efficiency, and operational design. • Develop technical recommendations and infrastructure strategies supporting future AI deployments. • Analyze current and future AI compute platforms including NVIDIA GPU architectures, ARM-based platforms, custom AI accelerators and ASICs, optical networking and switching technologies, and emerging hyperscaler-designed AI chips. • Evaluate implications of evolving chip architectures on rack density, power consumption, cooling requirements, electrical distribution, mechanical infrastructure, space planning, and future development standards. • Model current and future AI rack power density trends including existing high-density deployments (50–120 kW), near-term AI deployments (150–300+ kW), and future ultra-dense AI cluster scenarios. • Assess long-term impacts of emerging chip architectures on energy efficiency and future data center design and development standards. • Support conceptual and detailed design efforts for AI-ready data center infrastructure. • Assist in developing long-term infrastructure roadmaps for high-density AI deployments, liquid cooling adoption, modular infrastructure strategies, utility coordination, grid-parallel and microgrid solutions, and future AI campus development. • Evaluate implications of AI infrastructure evolution on greenfield developments, existing facility retrofits, construction methodologies, scalability, and future campus master planning. • Collaborate with engineering, development, and construction teams to develop scalable AI-ready infrastructure standards and deployment models. • Collaborate closely with the Energy Strategy Team to evaluate utility constraints, interconnection requirements, grid limitations, dynamic load fluctuation impacts, power quality and resiliency considerations, and onsite generation and distributed energy solutions. • Support analysis of grid-parallel and islanded microgrid architectures, fuel cells, Battery Energy Storage Systems (BESS), bridge power solutions, natural gas generation, and renewable integration opportunities. • Evaluate implications of AI workloads on substation development, transmission planning, utility coordination, and energy efficiency and PUE optimization. • Assess how future AI compute growth will influence utility planning and power infrastructure strategies. • Analyze current and emerging thermal management solutions including air cooling, direct-to-chip liquid cooling, immersion cooling, rear-door heat exchangers, and hybrid cooling architectures. • Assess implications of ultra-high-density AI deployments on mechanical system design, water usage, cooling scalability, heat rejection strategies, thermal resiliency, and future cooling infrastructure standards. • Evaluate cooling technologies and infrastructure requirements as AI rack densities continue to increase. • Interface directly with technology vendors, OEMs, utilities, and strategic partners across power generation, UPS systems, electrical infrastructure, cooling technologies, liquid cooling platforms, AI compute infrastructure, and networking and optical interconnect technologies. • Lead technical assessments of next-generation technologies with respect to reliability, scalability, energy efficiency, sustainability, AI workload performance, construction complexity, and operational resiliency. • Support proof-of-concept initiatives, pilot deployments, and technology benchmarking efforts. • Develop executive-level recommendations regarding adoption of emerging AI infrastructure technologies and strategic engineering standards. • Collaborate with design engineering, construction, operations, energy strategy, procurement, utilities, technology partners, and external engineering firms and consultants. • Support strategic planning initiatives and executive-level technical presentations. • Assist in developing future infrastructure standards and innovation roadmaps for AI-enabled data center platforms.

🎯 Anforderungen

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Data Center Engineering, or a related technical discipline. • 5+ years of experience in one or more of the following: data center infrastructure, AI/HPC infrastructure, power systems engineering, cooling technologies, or advanced infrastructure engineering. • Strong understanding of emerging AI compute technologies and infrastructure implications. • Ability to analyze complex technical systems and translate findings into actionable engineering and infrastructure strategies. • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or transfer sponsorship of an employment visa at this time, including CPT/OPT.

🏖️ Vorteile

• Understanding and following Cologix’s information security, cybersecurity, privacy, and environmental management policies, procedures, and standards. • Ensuring conformance with the requirements of both the Information Security Management System (ISMS) and the Environmental Management System (EMS). • Remaining vigilant and reporting any information security or environmental incidents, vulnerabilities, risks, or non-conformities to the appropriate teams. • Actively participating in Cologix’s efforts to maintain and improve information security and environmental performance.