ASIC Verification Engineer

Job Title

ASIC Verification Engineer

Role Summary

Join Recogni's ASIC team to validate a high-performance, low-power convolutional neural network accelerator used in perception modules for autonomous driving. The role focuses on pre-silicon correctness and quality across block, subsystem and full-chip levels.

The engineer will work closely with design and architecture teams to create verification environments and tests, drive coverage convergence, triage issues, and support diagnostic and post-silicon validation.

Experience Level

Entry-level / Early career. The posting requests a minimum of 2+ years of ASIC verification experience.

Responsibilities

Primary verification and validation responsibilities for pre-silicon and post-silicon activities:

• Develop block-level, subsystem and full-chip verification environments and tests to implement verification plans.
• Verify SoC/subsystem elements including embedded CPUs (ARM/RISC-V) and interconnect subsystems; perform C and assembly diagnostics where required.
• Create constrained-random stimulus and coverage-driven test strategies; drive coverage closure.
• Triage and debug functional and performance issues; manage bug tracking and regression testing.
• Integrate accelerator units with 3rd-party SoC IP and validate system-level interactions.
• Develop scripts and methodologies for front-end ASIC flows; support diagnostic and post-silicon lab validation.

Requirements

Key technical skills and attributes. Items labeled "Nice-to-have" are preferred but not mandatory.

• 2+ years of ASIC verification experience.
• Knowledge of ARM, MIPS or RISC-V architectures.
• Familiarity with AMBA/APB/AXI protocols and common processor peripheral interfaces (SPI, eMMC, MII, GPIO, I2C).
• Strong Verilog/SystemVerilog design and verification coding skills.
• Experience with UVM or similar verification methodologies.
• Deep understanding of object-oriented verification, constrained-random stimulus, and coverage-driven verification.
• Ability to debug complex RTL interactions and drive issues to resolution.
• Nice-to-have: scripting skills (Python, Perl, TCL, shell) and interest in AI accelerator architectures (convolution, transformer workloads).
• Self-starter, motivated to work in a fast-paced startup environment.

Education Requirements

B.S. in Electrical or Computer Engineering (or similar field) required; M.S. preferred.

About the Company

Company: Recogni

Headquarters: San Diego, California, United States

Recogni is a cutting-edge AI solution company specializing in high-performance, low-power AI inferencing designed for various industries. The company focuses on multimodal AI inference acceleration and is dedicated to advancing research and product developments in AI technologies. Based in San Diego, California, and Munich, Germany, Recogni values employee well-being and offers competitive benefits and a dynamic startup environment.