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