What are the responsibilities and job description for the AI Data Center Power Architect position at BIZLINK INTERCONNECT TECHNOLOGY ( INDIA ) PRIVATE LIMITED?
Design & Optimization: Architect power distribution systems (connectors, cables, busbars, whips) for AI servers, ensuring scalability, reliability, and thermal efficiency.
Focus on high-current applications (e.g., 130–3,000A) and alignment precision (±1.00mm) to prevent damage in dense GPU/TPU environments.
Power Estimation and Modeling:
Build and maintain accurate power estimation models and tools for AI server and rack-level systems.
Conduct performance versus power analyses, support early architectural exploration, and collaborate with hardware/software teams to improve Perf/Watt metrics and total cost of ownership for next-generation AI platforms
Compliance & Standards:
Ensure designs meet IEC 61439, IEEE, and safety regulations, including seismic and thermal management requirements (e.g., -40°C to 125°C operating range).
Cross-Functional Collaboration: Partner with sales, PLM, and R&D to align product roadmaps with AI infrastructure demands (e.g., NVIDIA GPU power needs) and customer requirements.
Innovation & Trends: Integrate emerging technologies like liquid-cooled busbars, low-GWP cooling, and advanced materials (high-conductivity copper alloys) to enhance power density and efficiency.
Industry Engagement: Represent the organization in consortia like OCP, OIF, and IEEE to drive standardization and partnerships, leveraging reference architectures for rapid deployment.
Minimum: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Power Systems, or related field.
Preferred: Master’s/PhD in Power Mechanics, Thermal Engineering, or Applied Physics
Over 10–15 years of experience in power architecture for high-density systems (100kW-1MW/rack), including AI/ML infrastructure.
Expertise in power connector/busbar design (e.g., liquid-cooled, solder-tail, screw-mount), high-current systems (up to 3,000A), and thermal management such as liquid-cooling for AI workloads.
Proficiency in IEC/IEEE standards, CAD tools, and system-level validation (e.g., 25kA short-circuit rating).
Experience collaborating with OEMs, chip vendors (NVIDIA, AMD, Intel), and data center operators to optimize AI server and rack power delivery.
Strong communication skills to bridge technical teams and business stakeholders.
Knowledge of dynamic workload management (e.g., BBU/powershelf).
Familiarity with AI reference architectures (e.g., NVIDIA designs supporting 132 kW/rack).
Salary.com Estimation for AI Data Center Power Architect in Fremont, CA
$177,511 to $221,528
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