Role description

Verification Engineer Intern

Ambarella

TypeInternship

SeniorityIntern

LocationUS Headquarters

Posted8/27/2026

Engineering

AI Vision Processors For Edge Applications

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

Job Description

Ambarella has some exciting internship opportunities for self-motivated and creative students near completion of their master's degree. We are looking for talented engineers who possess a strong interest in VLSI design, programming and computer architecture.

Ambarella designs complex SoCs which include custom DSP and computer vision blocks, CPUs and co-processors. Some example responsibilities will include:

Develop test benches (or parts thereof), write and debug tests and RTL logic.
Write Random Test Generators to automatically and intelligently generate the tests.
Write coverage monitors, checkers, assertions and collect statistics.
Create tools, scripts and utilities to aid in creating stimulus and analyzing the results of simulations, including performance measurements.

The internship program requires some exposure to the programming and scripting languages like Verilog, System Verilog, UVM, C and C++, Perl, Python or assembly code. We expect that interns will be able to pick up missing skills quickly, deliver their assignments on time, and present their work at the end of the program.

Relevant archetypes

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Company info

Ambarella

Ambarella is an AI vision silicon company.

With an installed base of more than 50 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

HQSanta Clara, United States