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À propos de ce poste DFT Engineer chez Ambarella

Ambarella · Sur site · US Headquarters

AI Vision Processors For Edge Applications

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

Job Description

Ambarella, a worldwide leader in edge AI semiconductors and software, is on a mission to bring artificial intelligence to all types of everyday devices, for enhanced environmental perception in everything from security cameras to robots to autonomous vehicles.


Position Responsibilities:

  • DFT implementation (Scan, Compression, MBIST, LBIST, and Streaming Scan Network) from RTL to Post-Production for complex multi-million gate Computer Vision SoC.

  • Analyze clocking scheme and implement clock control structure for at-speed scan testing 

  • Develop/Generate high-quality scan and mbist patterns.

  • DFT Verification (including post place-and-route timing simulations).

  • Work with Product Engineering team to bring up scan & mbist patterns on ATE.

  • Support silicon production activities including failure diagnosis and test optimization. 

Minimum Requirements:

  • MS in Electrical / Computer Engineering or BS in Electrical/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

  • Knowledge of Mentor Tessent tools is a plus

  • Knowledge of scan diagnostics is a plus

The base salary range is $140,000 - $150,000. 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.

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À propos de Ambarella

Combining technical expertise and a commitment to quality, Ambarella has established itself as the industry standard for excellence in video performance by offering pristine imagery, efficient compression, and low-power operation. For our next phase of growth, we are looking for talented team members to help us deliver our advanced computer vision algorithms to tomorrow’s intelligent video products. Our target applications include autonomous vehicles, intelligent video surveillance, self-flying drones, smart wearable cameras, 360-degree immersive video, and more.

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