System Application Manager/Director

Innoscience; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Innoscience is seeking an experienced System Architect to lead GaN-based power conversion solutions for AI data centers and high-performance power applications. You will define system architectures, guide engineering teams, and translate customer requirements into competitive GaN-based solutions.

Ideal candidates hold a Master’s or PhD in Electrical Engineering or Power Electronics with 8+ years in the field, and possess strong leadership and collaboration skills to work with customers and

Qualifications

• 8+ years in power electronics or system architecture.
• Strong AC/DC and DC-DC knowledge.
• GaN/SiC/Si MOSFET experience.
• Experience with AI data center power architectures preferred.
• Excellent communication and leadership.

Responsibilities

• Lead GaN-based power conversion architectures.
• Evaluate topologies to optimize efficiency and density.
• Guide engineering teams through design and validation.
• Interact with AI infrastructure customers to define requirements.
• Collaborate with cross-functional teams to drive product priorities.

Skills

Power electronics

System architecture

Technical leadership

Topologies

Gate driving

Customer engagement

Problem-solving

Education

MS/PhD in EE/Power Electronics

Job description

We are seeking an experienced System Architect to lead the development of innovative Gallium Nitride (GaN)-based power conversion solutions, with a focus on AI data centers and high-performance power applications. The ideal candidate will combine strong power electronics expertise and technical leadership to define system architectures, guide engineering teams, and translate customer requirements into competitive GaN-based solutions.

Key Responsibilities

1. System Architecture & Technical Strategy

• Lead the development of GaN-based power conversion architectures, particularly 800V-to-Core solutions for AI data centers.
• Evaluate power topologies and system architectures to optimize efficiency, power density, performance, reliability, and cost.
• Identify emerging technology trends and opportunities for GaN-based solutions.

2. Technical Leadership

• Define technical directions and guide engineering teams through system design, development, and validation.
• Provide detailed technical guidance on topology selection, power stage design, control strategies, power device selection, gate driving, and system optimization.
• Review engineering designs, identify technical risks, and drive structured, data-driven problem-solving.
• Work directly with leading AI infrastructure customers to understand system requirements and propose innovative GaN-based solutions.
• Lead technical discussions with customer architects and engineering teams.
• Translate customer requirements into GaN device specifications and next-generation product development priorities.
• Collaborate with device engineering, product development, and application teams to drive solution development and customer adoption.

Qualifications

• Master's degree or higher in Electrical Engineering, Power Electronics, or a related field; Ph.D. preferred.
• 8+ years of experience in power electronics, system architecture, or advanced power conversion.
• Strong understanding of AC/DC and DC/DC architectures, power topologies, and control techniques.
• Strong understanding of power semiconductor device characteristics, operating principles, and switching behavior, including GaN, SiC, and Si MOSFETs.
• In-depth knowledge of gate driving techniques and device operation, with the ability to guide engineering teams in achieving efficient, reliable, and robust switching performance.
• Experience with high-efficiency, high-power-density power systems; GaN applications and AI data center power architectures are highly preferred.
• Proven ability to provide technical direction and guide engineering teams on detailed design decisions. Hands-on development experience is a plus, but not required.
• Strong logical thinking, analytical reasoning, and structured problem-solving skills.
• Strong communication and technical presentation skills, with the ability to engage directly with customers and cross-functional engineering teams.