VLSI Design Verification Engineer_2

Taiwan Hsinchu · On-site

About this role

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

We are looking for talented engineers to join our VLSI Verification team. You’ll work on next-generation SoCs, applying advanced verification methodologies (SystemVerilog/UVM, coverage-driven, assertion-based) and leveraging AI-assisted tools to accelerate testplan writing, assertion development, and debug.

Responsibilities
• Develop and execute verification plans for complex SoCs/IPs
• Build testbenches, assertions, and coverage models
• Collaborate with architects, designers, and post-silicon teams
• Ensure correctness and reliability of cutting-edge designs

Why Join Us
• Cutting-edge verification with AI-powered flows
• Work alongside global world-class engineers
• Accelerated growth in a learning-driven culture
If you are smart, curious, and eager to learn, join us and shape the future of silicon innovation!

Qualifications
• Bachelor’s, Master’s, or PhD in EE/CS or related field
• Strong background in digital design and computer architecture
• Experience with SystemVerilog/UVM/Verilog/C/C++ (script with Perl/Python is a plus)
• Strong debugging, analytical, and problem-solving skills

Company at a glance

With an installed base of more than 42 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy.

Founded2004
Team Size501-1,000 employees
WorkspaceOn-site
IndustrySemiconductor Manufacturing
Location
Hsinchu, Taiwan
LinkedInLinkedIn

Tired of cold applications?

Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.

Know someone who'd be great for this?