Hardware Verification Engineer

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About The Opportunity

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Role & Responsibilities

• Define verification plans and acceptance criteria for ASIC/IP blocks and SoC-level features, translating specifications into measurable verification goals.
• Develop and maintain SystemVerilog/UVM testbenches, directed and constrained-random tests, functional coverage models, and assertions to achieve coverage closure.
• Run and manage simulation regressions using tools such as Synopsys VCS and debug failures with waveform/trace analysis and Verdi.
• Integrate verification environments with automation pipelines (TCL/Python/Shell), create CI-driven regressions, and maintain test artifacts and metrics dashboards.
• Work with RTL designers, architecture, and firmware teams to debug complex functional issues, support silicon bring-up, and iterate on corner-case fixes.
• Introduce and apply formal verification, emulation/FPGA-prototyping, and SoC-level integration strategies where applicable to accelerate verification and reduce risk.
  

Skills & Qualifications

• Must-Have
• Bachelor’s degree in Electrical/Computer Engineering or equivalent; 3+ years of hands-on ASIC/SoC/IP verification experience.
• Strong SystemVerilog expertise and practical UVM experience building reusable verification components and test suites.
• Proven experience with simulation/debug tools (Synopsys VCS,Verdi or equivalent) and coverage-driven verification.
• Solid RTL comprehension, assertion-based verification (SVA), and ability to close functional coverage gaps.
• Scripting proficiency (Python, TCL, Shell) for test automation and regression orchestration.
• Preferred
• Experience with formal tools, emulation/FPGAs for prototyping, and SoC bring-up in lab/silicon validation.
• Familiarity with mixed-signal verification flows, quantum-control relevant timing constraints, or low-noise analog-digital interfaces.
• Advanced degree (MS/PhD) or prior work on complex SoC IP stacks and cross-team integration projects.
  

Benefits & Culture Highlights

• Work on cutting-edge quantum hardware in a fast-paced deeptech environment with high ownership and visibility.
• Collaborative, cross-functional teams, mentorship opportunities, and a strong focus on engineering excellence and continuous learning.
• Competitive compensation, flexible work practices, and access to state-of-the-art lab and prototyping facilities.