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Snr ASIC Design Engineer

Qblox B.V.

IND sponsorDelft, NLFull-timehybrid32–40 hours/week

About the role

 Deconstruct Requirements & Design: Evaluate system requirements to architect and implement robust, high-performance digital logic and IP blocks.  Front-End Flow Ownership: Drive designs through the front-end ASIC flow, including RTL coding, linting, clock domain crossing (CDC) analysis, and initial synthesis.  Verification Collaboration: Write block-level self-checking testbenches and collaborate with the verification team to expand top-level UVM environments.  Architectural Influence: Propose innovative changes to chip architecture, power-saving strategies, and team methodologies.  Cross-Functional Sparring: Act as a core technical sparring partner to a diverse engineering team, continuously pushing for better ways of doing things.

Enough about us, what about you? To thrive in this role, you should bring:  Experience: 8+ years as a digital design engineer within an R&D or fabless ASIC environment, with a proven track record of successful silicon tape-outs/deliveries.  RTL & Architecture: Deep fundamental knowledge of digital design, IP development, and RTL coding using VHDL and/or Verilog.  EDA Tools & Flow: Strong experience with standard ASIC front-end EDA tools, processor/bus-system architectures (e.g., AMBA AXI/AHB protocols), and synthesis.  Timing & Constraints: Solid understanding of static timing analysis (STA) constraints and timing closure methodologies.  Mixed-Signal Familiarity: Understanding of analog/mixed-signal chips or IP (e.g., ADC/DAC interfaces, PLLs).  Automation & Tools: Proficiency in scripting to automate design workflows (Python, Tcl, Shell) and version control (Git).  Communication: Strong communication and collaboration skills. Optional Nice-to-Haves:  Active experience with advanced verification frameworks (UVM).  Prior experience with DFT (Design for Test) insertion, scan chains, and BIST.  Experience with modelling and simulation in MATLAB / Simulink.  Strong background in DSP and signal-processing filters.  Familiarity with AI agentic workflows and automation within the design flow.  Experience or a strong interest in the Quantum Computing field.

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