Principal System Architect - Physical AI & Robotics

TDK; San Jose (CA); On-site; USD 145,000 - 220,000; Full time

Benefits offered by this job

medical

dental

401(k)

pension

life insurance

vacation

tuition reimbursement

work from home stipend

13 paid holidays

Job summary

TDK U.S.A. Corporation seeks a Principal System Architect to lead the end-to-end architecture of next-generation Physical AI platforms.

You will define architectures spanning silicon, hardware, embedded and cloud software, AI/ML models, and actuation/control, guiding decisions from concept to commercialization. The role requires bridging silicon, hardware, software, and robotics disciplines, with leadership across multidisciplinary teams to deliver scalable, commercially successful products.

Qualifications

• MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or related field.
• 10+ years of relevant experience architecting complex embedded and intelligent systems.
• Demonstrated success delivering commercial products from concept to production.
• Deep understanding of system architecture spanning silicon, hardware and software.

Responsibilities

• Define system architecture for Physical AI, robotics, and intelligent sensing platforms.
• Drive architecture analysis and tradeoffs across compute, power, performance, cost, reliability, and scalability.
• Coordinate cross-functional design across silicon, hardware, embedded and cloud software, and AI/ML algorithms and models.
• Lead architecture reviews, functionality splits, interface definitions, and system integration efforts.
• Collaborate with global engineering teams, customers, and strategic technology partners.

Skills

SoC architecture

Embedded Linux

AI/ML algorithms

Robotics

Cloud connectivity

Education

MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or related field

Tools

RTOS

Job description

TDK U.S.A. Corporation seeks a Principal System Architect to lead the end-to-end architecture of next-generation Physical AI platforms.

You will define architectures spanning silicon, hardware, embedded and cloud software, AI/ML models, and actuation/control, guiding decisions from concept to commercialization. The role requires bridging silicon, hardware, software, and robotics disciplines, with leadership across multidisciplinary teams to deliver scalable, commercially successful products.