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Ambarella

Edge AI vision processors for cameras

DFT Engineer

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

About the Job

Requirements

  • A master's degree in Electrical Engineering or Computer Engineering, or a bachelor's degree in Electrical Engineering or Computer Engineering with 1–5 years of experience in DFT implementation.
  • Knowledge of DFT fundamentals.
  • Knowledge of logic design and timing.
  • Knowledge of Verilog and Python.

Responsibilities

  • Implement DFT (scan, compression, MBIST, LBIST, and Streaming Scan Network) from RTL to post-production for complex, multi-million-gate Computer Vision SoCs.
  • Analyze the clocking scheme and implement clock-control structures for at-speed scan testing.
  • Develop or generate high-quality scan and MBIST patterns.
  • Perform DFT verification, including post-place-and-route timing simulations.
  • Work with the Product Engineering team to bring up scan and MBIST patterns on ATE.
  • Support silicon production activities, including failure diagnosis and test optimization.

Desired Qualifications

  • Knowledge of Mentor Tessent tools.
  • Knowledge of scan diagnostics.

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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