Systems Solutions Architect

Summary by AIEngineer.careers

Systems Solutions Architect is a AI System Architect role (full-time). with Cadence Systems. in SAN JOSE, US. Compensation shown: $186K–$345K. Imported listing (source: drjobpro.com). Apply on the employer's site (drjobpro.com).

Imported listing (source: drjobpro.com) · Apply on drjobpro.com

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SAN JOSE · US

$186K–$345K

Full-time

STAFF

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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from drjobpro.com

Cadence is seeking a Systems Solutions Architect and Technical Lead to define compute-centric SoC subsystems for Edge AI and Physical AI applications using Cadence DSPs, CPUs, NPUs, and accelerators. You will set the technical vision and architecture for hardware subsystems and their software stacks, optimizing for power, performance, area, and software flexibility. The role bridges hardware implementation, software engineering, and performance modeling teams to bring Physical AI, computer vision, and audio algorithms into deployed real-world systems.

Responsibilities

Define and own system architecture for new hardware subsystems (compute, memory, interconnects, interfaces) and corresponding software stacks (drivers, HAL, compiler runtimes, middleware)
Architect solutions using the Cadence SSG IP portfolio including Tensilica DSPs and CPUs, Neo NPU accelerators, interface IP, and memory controllers
Partner with performance modeling teams to build cycle-accurate or transaction-level (TLM) simulations and identify bottlenecks before silicon commitment
Hand off clear architectural specifications to RTL/hardware and software/firmware teams and ensure alignment across teams
Serve as final authority during system integration to validate software stack performance on hardware
Build scalable proof-of-concept and reference designs demonstrating the integrated Cadence IP platform
Act as technical liaison with engineering partners to influence future IP roadmaps based on emerging Physical AI trends

Requirements

12 years in a leading architectural or system engineering role with a history of architecting complex systems from concept to production
Proven track record designing integrated solutions where hardware and software are co-designed
Experience collaborating with or leading performance modeling teams using SystemC, TLM, or custom cycle-accurate simulators
Experience in Physical AI (robotics, autonomous systems) delivering real-time imaging and/or radar and advanced audio processing
Strong written and verbal communication skills
Ability to travel up to 10% including internationally

Nice to Have

Experience with edge transformers
Familiarity with autonomous systems and spatial awareness/tracking pipelines

Benefits

401kEquity / stock optionspaid vacationpaid holidaysmedical insurancedental insurancevision insuranceemployee stock purchase plan

Tech Stack

Computer VisionDSPEdge AIFirmwareNPUPhysical AIRTLSoCSystemCTLM

Cadence Systems

San Jose · US · 13000+ employees

Cadence Design Systems, Inc. (Nasdaq: CDNS) is a market leader in AI computational software, accelerated hardware, and IP solutions for electronic design automation. Founded in 1988 and headquartered in San Jose, California, it provides end-to-end design solutions used by the world's leading semiconductor and systems companies, with 2025 revenue of $5.29B.