Digital Design Verification Engineer
Listed on 2026-05-19
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Engineering
Electronics Engineer, Systems Engineer
About OLIX
AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade.
The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance.
We are seeking highly skilled and motivated Senior / Staff Digital Verification Engineers with a strong background in CMOS digital design and verification to take ownership of the functional correctness of high-speed, real-time data-processing silicon—from early algorithm modelling through verified RTL, sign-off, and silicon bring-up.
You will join a multidisciplinary group creating groundbreaking hardware where digital, optical, and mixed-signal domains intersect.
The ideal candidate brings deep expertise in digital verification methodologies, a solid understanding of hardware architecture, and a passion for building provably correct, high-performance systems that underpin breakthrough AI hardware.
ResponsibilitiesOwn end-to-end verification of high-throughput digital pipelines supporting multi‑GSPS input rates, continuous streaming data paths, deep pipelining, and robust hand‑shaking in advanced CMOS nodes
Develop and maintain comprehensive verification environments using System Verilog/UVM, including constrained‑random testing, coverage closure, and regression automation
Define and implement assertion‑based verification strategies for control logic, data‑path correctness, CDC/RDC, and protocol compliance
Apply formal verification techniques (property checking, assertions, equivalence checking) to complement simulation‑based verification and accelerate bug discovery
Model and validate algorithms using MATLAB/Simulink or Python, ensuring functional equivalence from algorithmic models through RTL and gate‑level sign‑off
Support FPGA prototyping and silicon bring‑up by developing targeted testcases, debug strategies, and post‑silicon validation plans
Collaborate closely with digital design, optical‑hardware, mixed‑signal, and software teams to ensure correct integration across clock domains, interfaces, and firmware abstractions
Analyse verification results to identify root causes, drive design fixes, and improve verification efficiency and reuse
Contribute to verification methodology development, documentation, and design/verification reviews; mentor junior engineers where appropriate
5+ years of hands‑on experience in digital verification for high‑performance ASICs or So Cs
Ownership of verification for at least one complex block or subsystem processing continuous real‑time data streams
Strong proficiency in System Verilog, assertions (SVA), and modern verification methodologies (e.g. UVM, CocoTB)
Proven experience verifying designs operating in GHz‑class clock domains, including CDC/RDC analysis
Familiarity with industry‑standard EDA flows: RTL simulation, formal verification, linting, CDC/RDC, STA, power‑intent (UPF/CPF), and gate‑level simulation
Experience verifying high‑speed IP such as Ser Des, DDR/HBM, PCIe, Ethernet, or similar interfaces
Proficiency with MATLAB/Simulink or Python/Num Py for algorithm modelling, fixed‑point analysis, and test‑vector generation
Solid grounding in digital design principles, computer architecture, DSP fundamentals, and semiconductor basics
Clear communicator who collaborates effectively across disciplines and is comfortable operating in a fast‑moving, evolving environment
Tape‑out experience at 22 nm or below
Deep hands‑on experience with formal verification methodologies, including property decomposition, and coverage‑driven formal on tools such as Jasper
Exposure to coherent optical links or photonic‑electronic co‑design
Familiarity with AI/ML…
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