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OLIX

Optical compute hardware for AI inference

Digital Design Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on experience in digital verification for high-performance ASICs or SoCs.
  • Ownership of verification for at least one complex block or subsystem processing continuous real-time data streams.
  • Strong proficiency in SystemVerilog, assertions (SVA), and modern verification methodologies such as UVM and CocoTB.
  • Experience verifying designs operating in GHz-class clock domains, including clock-domain crossing and reset-domain crossing analysis.
  • Familiarity with industry-standard EDA flows, including RTL simulation, formal verification, linting, clock-domain crossing and reset-domain crossing, static timing analysis, power intent (UPF/CPF), and gate-level simulation.
  • Experience verifying high-speed IP such as SerDes, DDR/HBM, PCIe, Ethernet, or similar interfaces.
  • Proficiency with MATLAB/Simulink or Python/NumPy for algorithm modelling, fixed-point analysis, and test-vector generation.
  • Solid grounding in digital design principles, computer architecture, digital signal processing fundamentals, and semiconductor basics.
  • Ability to collaborate across disciplines and operate in a fast-moving, evolving environment.

Responsibilities

  • Own end-to-end verification of high-throughput digital pipelines supporting multi-GSPS input rates, continuous streaming data paths, deep pipelining, and robust handshaking in advanced CMOS nodes.
  • Develop and maintain comprehensive verification environments using SystemVerilog/UVM, including constrained-random testing, coverage closure, and regression automation.
  • Define and implement assertion-based verification strategies for control logic, data-path correctness, clock-domain crossing/reset-domain crossing, and protocol compliance.
  • Apply formal verification techniques, including property checking, assertions, and 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 test cases, debug strategies, and post-silicon validation plans.
  • Collaborate 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.

Desired Qualifications

  • Tape-out experience on an advanced process node.
  • 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 workloads, systolic arrays, or tensor-processing architectures.
  • Expertise in arithmetic pipeline verification.
  • Expertise in processor and instruction set architecture verification.
  • Contributions to open-source RTL, verification frameworks, or FPGA platforms.

About the Company

OLIX

Optical compute hardware for AI inference

OLIX is a London-based AI chip company building optical compute infrastructure for frontier AI inference. Its product line includes specialized hardware components—chips, lasers, and interconnects—that allow each stage of token generation to run on purpose-built hardware rather than general-purpose GPUs. The X-1 platform distributes models across multiple chips linked by a slow-and-wide optical interconnect and uses a deterministic compiler to map work efficiently, while the DX-1 is the first decode accelerator that keeps models in on-chip SRAM without requiring advanced packaging or high-bandwidth memory. The company differentiates itself by providing end-to-end optical hardware designed for AI inference, rather than relying on traditional GPU-based inference pipelines. OLIX’s stated goal is to deliver the DX-1 to first customers by the second half of 2027 and to scale manufacturing and hiring across its global locations to support growth.

Company size
51-200
Company stage
Series B
Total funding
$546.3M
Headquarters
London, United Kingdom
Founded
2024

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