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Ambarella

Edge AI vision processors for cameras

Verification Engineer 2

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • At least a 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.

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 the 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.

Desired Qualifications

  • A master's degree in Electrical Engineering, Computer Engineering, or a related field.

About the Company

Ambarella

Edge AI vision processors for cameras

Ambarella develops AI vision processors for edge devices to extract meaningful insights from high-resolution video. Its chips and software run locally on cameras and embedded systems, enabling real-time analytics for applications such as ADAS, smart mirrors, drive recorders, security cameras, and industrial robotics, without sending data to the cloud. Revenue comes from licensing its AI vision processors and related software to manufacturers who integrate the tech into their products. The company differentiates itself by focusing on on-device, low-latency processing across automotive, security, consumer IoT, and industrial robotics markets, and by expanding capabilities through acquisitions like Oculii to add radar perception AI algorithms. Ambarella’s goal is to empower real-time, local decision-making in cameras and sensors, enabling safer, more capable edge devices across multiple industries.

Company size
501-1,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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