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Staff Level Power Integrity Engineer

Tesla · Bengaluru, India ; India

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About the job  We are seeking a highly skilled Senior or Staff Power Integrity Engineer to lead the design, simulation, and validation of advanced Power Delivery Networks (PDNs) for our next-generation AI chips, packages and systems for Tesla’s Robotaxi, Optimus and data center. This critical role owns the integrity of high-current power delivery from the voltage regulator output down to the SoC, ensuring minimal noise, and superior power efficiency.    What You'll Do  Architect and optimize low-impedance PDNs, including VRMs, PCB planes, and pcb/package-level decoupling strategies, to meet strict target impedance and voltage droop specifications. Perform 3D/2D electromagnetic simulation, DC IR drop, AC impedance, and transient analysis using industry-standard tools (Ansys SIwave/HFSS, Cadence Sigrity/PowerSI). Collaborate closely with SoC design, package, and PCB layout teams to influence stack-up, ballmaps, and routing guidelines to achieve first-pass silicon success. Define PI test patterns and validation items. Lead lab bring-up, measurement, and debugging of PI issues. Correlate simulation models with measurements using VNAs, Oscilloscopes. Develop and standardize automated simulation workflows and reporting pipelines (Python, MATLAB, or TCL) . Act as the design owner, mentor junior engineers, and drive technical decisions across cross-functional teams     What You'll Bring  5+ years of relevant industry experience in Power Integrity, Power Delivery Network (PDN) design, or related field. Deep understanding of EM theory, transmission line theory, and DC/AC circuit analysis. Proficient in EDA tools such as Ansys (HFSS, SIwave, Q3D), Cadence (Sigrity PowerSI/PowerDC), or Keysight ADS. Hands-on experience with high-speed instruments such as VNA, Oscilloscopes, or TDR. Background in advanced IC packaging technologies (including 2.5D/3D integration, silicon interposers, and chiplets), on-chip IR analysis, signal integrity preferred. Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability