Senior Systems Architect: Edge AI & Physical AI Solutions

Cadence; San Jose (CA); Presencial; USD 186.000 - 345.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Equity

Benefits

Descripción de la vacante

Cadence is seeking a Systems Solutions Architect and Technical Lead in California to define compute-centric subsystems for Physical AI. You will architect the SoC subsystems using Cadence DSPs, CPUs, NPUs, and accelerators, and ensure the software stack and hardware are optimized together for power, performance, and safety.

You will lead cross-functional teams across hardware, software, and performance modeling, delivering PoC designs and guiding future IP roadmaps in edge AI and robotics

Formación

• 12+ years in an architectural or system engineering leadership role.
• Proven track record designing integrated solutions aligning hardware features with software.
• Experience with performance modeling using SystemC, TLM, or similar tools.

Responsabilidades

• Define and own the system architecture for new hardware subsystems and the software stack.
• Architect solutions using Cadence SSG IP portfolio (DSPs, CPUs, NPUs, accelerators).
• Partner with Performance Modeling teams to build simulations and identify bottlenecks.
• Handoff architectural specs to RTL/Hardware and software/firmware teams and ensure alignment.
• Act as final authority during system integration to maximize software performance on hardware.
• Build scalable PoC and reference designs; influence IP roadmaps based on Physical AI trends.

Conocimientos

System architecture

Performance modeling

Hardware‑software co‑design

SystemC/TLM

Technical leadership

Edge AI/Physical AI

Communication

Travel 10%

Descripción del empleo

Cadence is seeking a Systems Solutions Architect and Technical Lead in California to define compute-centric subsystems for Physical AI. You will architect the SoC subsystems using Cadence DSPs, CPUs, NPUs, and accelerators, and ensure the software stack and hardware are optimized together for power, performance, and safety.

You will lead cross-functional teams across hardware, software, and performance modeling, delivering PoC designs and guiding future IP roadmaps in edge AI and robotics