Verification Engineer II

Posted Yesterday
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Headquarters, AZ, USA
In-Office
120K-160K Annually
Entry level
Artificial Intelligence • Computer Vision
The Role
Develop and execute verification solutions for advanced SoCs used in video, image processing, computer vision, and AI applications. Build SystemVerilog and UVM testbenches, create verification plans, develop directed and constrained-random tests, and implement assertions, checkers, and coverage models. Debug RTL and testbench failures, automate regression workflows with Python, enhance agentic AI verification processes, and collaborate with design, architecture, and software teams.
Summary Generated by Built In
AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Ambarella is seeking a motivated Verification Engineer to develop and execute verification solutions for advanced SoCs used in video, image processing, computer vision, and AI applications.


You will work with established verification methodologies and modern agentic AI verification flows to develop tests, analyze failures, improve coverage, and accelerate debugging.


Key Responsibilities
  • Develop and maintain verification testbenches using SystemVerilog, UVM, Verilog, C/C++, and Python.
  • Create and execute verification plans for DSP blocks, control logic, processor cores, and specialized accelerators.
  • Verify components of Ambarella's image processing pipeline, video input subsystem, compression engines, and neural network processors.
  • Develop directed and constrained-random tests, assertions, checkers, and coverage models.
  • Debug RTL and testbench failures, analyze simulation results, and resolve coverage gaps.
  • Use and enhance agentic AI verification workflows for test generation, failure analysis, coverage improvement, and debugging automation.
  • Develop Python scripts and utilities to automate verification and regression tasks.
  • Collaborate with RTL design, architecture, and software teams.
Qualifications
  • At least Bachelor’s (preferably Master's) degree in Electrical Engineering, Computer Engineering, or a related field.
  • Strong understanding of digital logic design and computer architecture.
  • Hands-on experience with Verilog/SystemVerilog and simulation-based verification.
  • Familiarity with UVM, constrained-random testing, and functional coverage.
  • Programming skills in Python and/or C/C++.
  • Strong debugging, problem-solving, and communication skills.

The base range is $120,000-$160,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position. We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits

Skills Required

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field
  • Strong understanding of digital logic design and computer architecture
  • Hands-on experience with Verilog/SystemVerilog and simulation-based verification
  • Familiarity with UVM, constrained-random testing, and functional coverage
  • Programming skills in Python and/or C/C++
  • Strong debugging and problem-solving skills
  • Strong communication skills
  • Master’s degree in Electrical Engineering, Computer Engineering, or a related field
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The Company
HQ: Santa Clara, CA
658 Employees
Year Founded: 2004

What We Do

Ambarella (Nasdaq: AMBA) is a leading developer of visual AI products. Our technologies enable a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com

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