AI-Driven Back-End CAD Engineer for Physical Implementation

Ericsson; Austin (TX); Híbrido; USD 150.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Medical benefits

401(k) plan

Descripción de la vacante

Ericsson in Austin, Texas seeks a Principal Back-End CAD Engineer to lead FlowJam and own the Back-End implementation framework across multiple ASIC programs. You will advance AI-assisted design and automate complex RTL-to-GDS flows, partnering with Physical Design teams to push QoR and productivity.

The role requires 10+ years in Physical Design/Back-End CAD, strong scripting with Python/Tcl, and hands-on experience with Synopsys Fusion Compiler or Cadence Innovus.

Formación

• 10+ years of experience in Physical Design, Back-End CAD, or Physical Implementation Methodology.
• Deep expertise in synthesis, floorplanning, placement, clock-tree synthesis, routing, timing closure, and power optimization.
• Hands-on experience with Synopsys Fusion Compiler and/or Cadence Innovus.
• Experience with RTL-to-GDS implementation flows.
• Expertise in Python, Tcl, and automation framework development.
• Experience driving methodology improvements across multiple projects and teams.
• Strong communication and leadership skills.

Responsabilidades

• Lead the architecture, development, and evolution of FlowJam, the Back-End CAD flow framework.
• Partner with Physical Design teams to drive implementation methodology across ASIC programs.
• Develop and optimize synthesis, P&R, timing closure, power optimization, and signoff methodologies for advanced technology nodes.
• Drive QoR, runtime, scalability, and engineering productivity improvements.
• Define reusable methodologies and automation frameworks to accelerate project execution.
• Evaluate and deploy next-generation EDA capabilities across Synopsys and Cadence tool ecosystems.
• Collaborate with EDA vendors to fix tool issues and influence future capabilities.
• Explore and integrate AI technologies to improve implementation, design-space exploration, closure, debug, and engineering efficiency.
• Help define the long-term roadmap for Back-End CAD and physical implementation within PEU Silicon.
• Mentor engineers and help build a culture of technical excellence and execution.

Conocimientos

Back-End CAD

Physical Design

RTL-to-GDS

Automation

Python

Synthesis

Floorplanning

Placement

Power optimization

Leadership

Clock-tree Synthesis

Educación

BS/MS in Electrical Engineering or Computer Science

Herramientas

Synopsys Fusion Compiler

Cadence Innovus

Descripción del empleo

Ericsson in Austin, Texas seeks a Principal Back-End CAD Engineer to lead FlowJam and own the Back-End implementation framework across multiple ASIC programs. You will advance AI-assisted design and automate complex RTL-to-GDS flows, partnering with Physical Design teams to push QoR and productivity.

The role requires 10+ years in Physical Design/Back-End CAD, strong scripting with Python/Tcl, and hands-on experience with Synopsys Fusion Compiler or Cadence Innovus.