GaN Power System Architect for AI Data Centers

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

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