Job Description

Senior ASIC Verification Engineer (AI Hardware) — Remote (U.S.) — No Visa Sponsorship

Our client an AI / Compute company of the verge of being the next Nvidia is looking for an experienced ASIC Verification Engineer to help ensure the quality, reliability, and performance of their next-generation AI-focused silicon. In this role, you'll partner closely with design, architecture, and software teams to validate complex hardware systems and contribute to cutting-edge compute solutions. This position also offers the opportunity to take ownership of verification efforts and influence best practices across projects.

Key Responsibilities

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  Define and drive verification strategies for advanced ASIC designs used in AI/compute workloads
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  Build and execute detailed verification plans, including coverage goals and validation approaches
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  Develop scalable verification environments using System Verilog and UVM
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  Create simulation infrastructure, including testbenches and both directed and constrained-random test scenarios
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  Work cross-functionally with design and architecture teams to achieve coverage closure and functional accuracy
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  Identify, debug, and resolve design issues throughout pre-silicon and early silicon validation phases
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  Partner with FPGA and emulation teams to support early prototyping and validation efforts
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  Track project milestones, manage verification deliverables, and proactively address risks

Required Background

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  Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related discipline
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  8+ years of hands-on experience in ASIC or SoC verification
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  Strong proficiency with System Verilog and UVM-based verification flows
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  Deep understanding of verification planning, coverage methodologies, and testbench architecture
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  Experience working with leading EDA toolchains (e.g., Cadence, Synopsys, Siemens EDA)
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  Solid debugging skills, including waveform analysis and scripting (Python, Tcl, or similar)
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  Exposure to high-performance compute architectures such as AI accelerators, memory hierarchies, or high-speed interfaces
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  Demonstrated success verifying complex silicon designs

Nice to Have

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  Advanced degree in a relevant engineering field
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  Experience with hardware/software integration or co-verification
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  Familiarity with formal verification methods
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  Exposure to post-silicon validation, bring-up, or lab debug processes