CAD/Emulation Engineer

Posted 7 Days Ago
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Ra'anana, ISR
Hybrid
Mid level
Semiconductor • Manufacturing
Ceva is powering the smart edge
The Role
Develop and maintain automation scripts for front-end emulation and VLSI CAD flows. Support VLSI artifact execution and releases, improve infrastructure efficiency and tool integration, and manage version control and CI/CD pipelines for regression and build environments. Establish emulation methodologies and procedures while collaborating on VLSI, ASIC, design, and verification infrastructure.
Summary Generated by Built In
Description

About the AI Division 

The AI Division is a unique and dedicated group within Ceva, driving innovation in Machine Learning and Generative AI architectures for edge devices and cloud inference. Our R&D domains span Neural Network Processors (NPU), Vision DSPs, and advanced AI algorithms for applications across smartphones, tablets, automotive, surveillance cameras and many more edge AI systems. 

We combine cutting-edge hardware IP design with embedded software and system-level solutions, enabling the next generation of intelligent and energy-efficient devices. 

About the role: 

We are looking for a CAD/Emulation Engineer to join our infrastructure team. This position is providing hands-on experience with advanced VLSI CAD/Emulation flows and infrastructure.  


Key Responsibilities 

Develop and maintain automation scripts for front-end Emulation and VLSI CAD flows and automation. 

Support execution and releases of VLSI artifacts while maintaining advanced CAD flows. 

Assist in improving infrastructure efficiency and tool integration. 

Work with advanced version control systems and CI/CD pipelines for regression and build environments 

Responsible for top notch emulation methodologies and procedures. 

Requirements
  • B.Sc. in Electrical Engineering, Computer Engineering, or related field. 
  • 3-4 years of experience as CAD/Emulation or Infrastructure engineer 
  • Strong programming skills:  
  • Python (must) 
  • Linux/Unix shell scripting (must) 
  • Advanced understanding of VLSI / ASIC / Desing/ verification concepts  
  • Strong motivation to learn and grow in CAD /Emulation and infrastructure general domain 

Advantages: 

  • Exposure to Perl / TCL scripting 
  • Familiarity with version control (e.g., Git, Azure DevOps / TFS) 
  • Previous knowledge in Emulation / FPGA prototyping is a plus.  

Skills Required

  • B.Sc. in Electrical Engineering, Computer Engineering, or a related field
  • 3-4 years of experience as a CAD/Emulation or Infrastructure Engineer
  • Strong Python programming skills
  • Linux/Unix shell scripting skills
  • Advanced understanding of VLSI, ASIC, design, and verification concepts
  • Motivation to learn and grow in CAD, emulation, and infrastructure
  • Exposure to Perl or Tcl scripting
  • Familiarity with Git, Azure DevOps, or TFS
  • Knowledge of emulation or FPGA prototyping
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The Company
HQ: Rockville, Maryland
534 Employees
Year Founded: 2002

What We Do

Ceva powers the Smart Edge, bridging the digital and physical worlds to bring AI-driven products to life. Our Ceva AI fabric portfolio of silicon and software IP enables devices to Connect, Sense, and Infer – the essential capabilities for the intelligent edge. From 5G, cellular IoT, Bluetooth, Wi-Fi, and UWB connectivity to scalable Edge AI NPUs, AI DSPs, sensor fusion processors and embedded software, Ceva provides the foundational IP for devices that connect, understand their environment, and act in real time. With more than 20 billion devices shipped and trusted by 400+ customers worldwide, Ceva is the backbone of today’s most advanced smart edge products – from AI-infused wearables and IoT devices to autonomous vehicles and 5G infrastructure. Our differentiated solutions deliver seamless integration into existing design flows, total flexibility to combine solutions based on design needs and ultra–low–power performance in minimal silicon footprint, helping customers accelerate development, reduce risk, and bring innovative products to market faster. As technology evolves toward Physical AI, Ceva’s IP portfolio lays the foundation for systems that are always connected, contextually aware, and capable of intelligent, real-time decision-making.

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