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Location
In office (San Francisco)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 10, 2026. Distro scores A on the Alion truth index.

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Headquartered in Lehi, Utah, Distro is an AI-powered global recruitment and human resources technology platform. The company provides end-to-end talent acquisition solutions, using artificial intelligence to screen resumes, conduct asynchronous video interviews, and deliver ranked candidate shortlists. Alongside automated recruiting, the enterprise offers international Employer of Record (EOR) capabilities, multi-currency payroll administration, and contractor compliance management to help organizations seamlessly hire and support distributed teams across the globe.

Position Summary We are seeking a System Engineering/Product Definer to define, evaluate, and bring to market next-generation, high-efficiency GaN based power management solutions. In this hands-on technical role, you will lead bench characterization, system-level validation, and technical customer enablement for advanced Smart Power Stages (SPS) and controllers powering high-performance CPUs and GPUs in AI data center architectures. You will bridge the gap between silicon design, advanced multi-die packaging, product/test engineering, and tier-1 computing clients. The ideal candidate possesses deep expertise in both Silicon (Si) and Gallium Nitride (GaN) power devices, advanced multi-chip packaging, and Smart Power Stage (SPS) topologies.

Key Responsibilities Bench Characterization & Diagnostics: Lead hands-on lab characterization, debugging, and performance optimization of Smart Power Stages, driver ICs, and multiphase controllers under real-world AI workload dynamics. Next generation, innovative product definition to solve the challenges related to AI based systems Silicon & GaN Evaluation: Evaluate and benchmark high-frequency, high-power density Si and GaN-based power stages, optimizing for power density, transient response, efficiency, and thermal dynamics. Cross-Functional Collaboration: Partner closely with IC Design, Package Engineering, Systems Engineering, and Product/Test teams to translate system requirements into silicon/module definitions and resolve complex silicon and packaging anomalies. Packaging & Thermal Integration: Provide application-level feedback on advanced power packaging technologies, including QFN, LGA, Fan-Out Panel Level Packaging (FO-PLP), and Chip-Embedded / substrate-embedded architectures. Customer Technical Advocacy: Deliver reference designs, evaluation boards (EVBs), application notes, and direct engineering support to top-tier hyperscale and server OEM/ODM hardware teams.

Required Qualifications Education: B.S. in Electrical Engineering (M.S. or Ph.D. preferred with a focus on Power Electronics). Experience: 10+ years of hands-on experience in high-power management IC development and application engineering. Domain Expertise: Proven track record in high-density power solutions for AI servers, GPUs, CPUs, and enterprise computing. Deep technical mastery in both Si-based MOSFETs/IC topologies and GaN power devices. Strong familiarity with multiphase buck converters, switched-capacitor architectures, and point-of-load (PoL) topologies. Lab Skills: Expert-level capability in bench testing, high-bandwidth signal integrity measurements, loss breakdown analysis, thermal imaging, and high-frequency noise troubleshooting. Packaging Knowledge: Deep understanding of power module assembly, parasitic inductance minimization, thermal dissipation paths, and layout constraints for LGA, QFN, FO-PLP, and chip-embedded packages. Work Experience: Direct experience at leading power semiconductor organizations (e.g., Infineon, Renesas, Monolithic Power Systems (MPS), Alpha and Omega Semiconductor (AOS), Analog Devices , or similar).

Preferred Qualifications Direct experience working on power delivery architectures for low-voltage, ultra-high-current processor rails (e.g., sub-1V, 500A+ transient profiles). Strong familiarity with board-level layout design (Altium, Cadence Allegro) and power delivery network (PDN) simulation tools (SIMPLIS, SPICE, Ansys Q3D). Based in or willing to travel regularly to the San Francisco Bay Area.

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