Job Summary:The R&D Manager leads and mentors a highly specialized engineering team responsible for the architecture, design, development, and validation of next-generation AI server and rack infrastructure. This role provides technical leadership across high-performance hardware architecture, high-density power delivery, advanced thermal management, high-speed signal and power integrity, and full hardware lifecycle validation.
Duties and Responsibilities:- Lead the architecture and system-level design of next-generation AI servers and rack infrastructure, including power, thermal, mechanical, electrical, and reliability requirements. Provide technical direction on high-density power, liquid cooling, signal integrity, power integrity, and complex system-level engineering trade-offs.
- Lead, mentor, and develop a highly specialized engineering team while establishing project priorities, milestones, and performance expectations. Allocate engineering resources effectively across multiple programs and provide technical guidance to resolve complex engineering challenges.
- Serve as the technical gatekeeper for design readiness, risk assessment, and validation throughout the EVT, DVT, and PVT lifecycle. Drive root-cause failure analysis, corrective actions, and risk mitigation to prevent critical design issues from reaching production or customer deployment.
- Partner with engineering, manufacturing, quality, supply chain, and NPI teams to optimize designs for performance, cost, reliability, manufacturability, and scalability. Lead the transition from R&D to manufacturing and provide technical leadership during builds, engineering changes, and production ramp.
- Serve as a technical interface with hyperscale's, Tier-1 customers, suppliers, and technology partners to align technical requirements and validation expectations. Evaluate external technologies, resolve technical issues, and drive corrective actions to support product performance and time-to-market.
Education:- Bachelor of Science (BS) degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Systems Engineering, or a closely related is required.
Experience:- 4-7 years of experience in high-performance server, rack, or computing hardware architecture and system design, with strong knowledge of AI server/rack systems, high-density power architecture, signal integrity, and power integrity.
- 3+ years of experience with AI-specific power and thermal infrastructure, including advanced thermodynamics, high-density power delivery, liquid cooling, and system-level thermal management.
- 4+ years of experience across EVT, DVT, and PVT, with proven ability to perform root-cause failure analysis, manage engineering risks, and drive complex hardware issues through resolution. At least 3 years of experience implementing DFM, DFT, DFC, and other Design for X principles is preferred.
- 3-5 years of experience leading engineering teams, mentoring technical talent, allocating resources, and managing multiple priorities. Demonstrated technical credibility, strong decision-making, and the ability to lead teams effectively under pressure are required.
- Strong ability to influence engineering, manufacturing, NPI, quality, supply chain, vendors, and customers to achieve technical and business objectives. Experience working with hyperscalers, Tier-1 customers, or strategic technology suppliers is strongly preferred.
