About the Team:
OpenAI is seeking an experienced Electrical Engineer with expertise in wireless (inductive/resonant) power transfer to design and optimize next-generation charging technologies for high-performance hardware products. You will own the end-to-end charging architecture—from coil design and power electronics to system integration, regulatory compliance, and manufacturing ramp-up.
About the Role:
Architecture & Design
Develop and refine high-efficiency inductive and resonant charging topologies.
Design and optimize transmit and receive coils, shielding, and magnetic materials to meet coupling, EMI, and thermal performance targets.
Power Electronics
Implement synchronous rectifiers and control loops (voltage, current, FOD) using discrete components and PMIC solutions.
Specify and characterize power components and networks to achieve >90% end-to-end efficiency.
System Integration
Collaborate with mechanical, RF, battery, and firmware teams to ensure robust alignment tolerance, thermal performance, and communication (I²C, SWD, NFC) between charger, fuel-gauge, and system controllers.
Lead PCB layout for low-loss, high-frequency paths (100 kHz – 6.78 MHz), minimizing parasitics and ensuring controlled impedance and isolation.
Verification & Compliance
Plan and execute validation for power, thermal, EMI/EMC, and safety certification.
Conduct failure analysis (FMEA), address field data, and implement countermeasures to maximize reliability and safety.
Manufacturing & Test
Define DFM/DFT requirements, production test limits, and fixture design for coil characterization, calibration, and performance screening.
Support factory builds and resolve power-related yield issues.
Technology Leadership
Build internal wireless-power expertise, mentor junior engineers, and evaluate emerging materials and semiconductor technologies.
Qualifications:
5+ years designing wireless or inductive charging systems for high-volume consumer or hardware products.
Hands-on experience with:
Qi/resonant wireless-power standards and compliance.
Analog/power electronics design up to ~100 W (switch-mode converters, resonant tanks, synchronous rectification).
Coil, magnetics, and shielding simulation (Maxwell, HFSS, Flux, or similar) and SPICE-based circuit modeling.
EMI/EMC mitigation, thermal modeling, and safety-critical design.
Schematic capture and multilayer PCB layout (Altium, Cadence, or similar) with SI/PI and thermal reviews.
Strong lab and debug skills: oscilloscopes, VNAs, power analyzers, thermal cameras, and Python/C test automation.
Ability to work cross-functionally in fast-paced development cycles.
Preferred Qualifications
Shipped at least one Qi-certified product at >1 M units.
Experience with adaptive FOD and inductive communication protocols.
Familiarity with battery pack design, fuel-gauge algorithms, and charging profiles.
Knowledge of global regulatory requirements (KC, CRF, CE RED, PSE, WPC) and third-party test-house engagement.
Master’s degree (MSEE) or higher, with a focus in power electronics or electromagnetics.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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