Senior ASIC Verification Engineer (AI Hardware)

Senior ASIC Verification Engineer (AI Hardware) — Remote (U.S.) — No Visa Sponsorship Overview 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 - Define and drive verification strategies for advanced ASIC designs used in AI/compute workloads - Build and execute detailed verification plans, including coverage goals and validation approaches - Develop scalable verification environments using System Verilog and UVM - Create simulation infrastructure, including testbenches and both directed and constrained-random test scenarios - Work cross-functionally with design and architecture teams to achieve coverage closure and functional accuracy - Identify, debug, and resolve design issues throughout pre-silicon and early silicon validation phases - Partner with FPGA and emulation teams to support early prototyping and validation efforts - Track project milestones, manage verification deliverables, and proactively address risks Required Background - Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related discipline - 8+ years of hands-on experience in ASIC or SoC verification - Strong proficiency with System Verilog and UVM-based verification flows - Deep understanding of verification planning, coverage methodologies, and testbench architecture - Experience working with leading EDA toolchains (e.g., Cadence, Synopsys, Siemens EDA) - Solid debugging skills, including waveform analysis and scripting (Python, Tcl, or similar) - Exposure to high-performance compute architectures such as AI accelerators, memory hierarchies, or high-speed interfaces - Demonstrated success verifying complex silicon designs Nice to Have - Advanced degree in a relevant engineering field - Experience with hardware/software integration or co-verification - Familiarity with formal verification methods - Exposure to post-silicon validation, bring-up, or lab debug processes Originally posted on Himalayas