Verification Engineer II

Posted 18 Hours Ago
Be an Early Applicant
Headquarters, AZ, USA
In-Office
Entry level
Artificial Intelligence • Computer Vision
The Role
Verify complex digital logic and media processor designs by developing UVM and SystemVerilog testbenches, executing test plans, analyzing functional and code coverage, debugging SoC platforms, and creating verification tools. The role validates DSP blocks, control logic, processor cores, image-processing pipelines, video compression engines, and neural-network processors while collaborating with RTL, 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

We are seeking a talented and motivated Verification Engineer to join our cutting-edge semiconductor development team. In this role, you will be responsible for verifying complex digital logic designs, developing testbenches, and contributing to the validation of next-generation video and image processing solutions.


Key Responsibilities:

  • Develop advanced testbenches using UVM, SystemVerilog, Verilog, C/C++, and scripting languages.
  • Create and execute comprehensive test plans for:
    • Digital signal processing (DSP) blocks
    • Control logic modules
    • General-purpose processor cores
  • Debug and validate a complex media processor platform using UVM, Verilog/SystemVerilog, C/C++, Python, and Perl.
  • Perform functional coverage analysis using industry-standard CAD tools.
  • Drive system-level verification of key components, including Ambarella’s image processing pipeline, video compression engine, and neural network vector processor.Develop custom verification tools and scripts to streamline verification flows.
  • Collaborate closely with RTL design, architecture, and software teams to ensure thorough validation coverage.

Qualifications:

  • Master’s degree in Electrical Engineering, Computer Engineering, or related field (MSEE/M.S. CE required).
  • Strong hands-on experience with SystemVerilog and UVM methodology.
  • Solid understanding of digital design concepts and SoC architecture.
  • Proficiency in C/C++, scripting languages (Python, Perl), and simulation/debug tools.
  • Experience with functional and code coverage methodologies.
  • Excellent problem-solving and communication skills.

Preferred Qualifications:

  • Knowledge of video compression and decompression algorithms (e.g., H.264, H.265).
  • Familiarity with memory technologies and subsystems (DDR4, LPDDR3, LPDDR4).
  • Prior experience verifying large-scale media or image processing SoCs.

Why Join Us?

  • Work on industry-leading products in an innovative and collaborative environment.
  • Make a direct impact on technologies used in autonomous vehicles, smart cameras, and more.
  • Competitive compensation, excellent benefits, and career development opportunities.

Skills Required

  • Master’s degree in Electrical Engineering, Computer Engineering, or a related field
  • Strong hands-on experience with SystemVerilog and UVM methodology
  • Understanding of digital design concepts and SoC architecture
  • Proficiency in C or C++, Python, Perl, and simulation/debug tools
  • Experience with functional and code coverage methodologies
  • Excellent problem-solving and communication skills
  • Knowledge of video compression and decompression algorithms, including H.264 and H.265
  • Familiarity with DDR4, LPDDR3, and LPDDR4 memory technologies and subsystems
  • Experience verifying large-scale media or image-processing SoCs
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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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