Senior/Staff Digital Design Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
217K-217K Annually
Senior level
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Seeking a Senior/Staff Digital Design Engineer for CMOS digital design, responsible for implementing high-speed data-processing circuits and prototyping in FPGA. Requires 7+ years of experience in high-performance ASICs and proficiency in algorithm modeling and hardware debugging.
Summary Generated by Built In

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.

The Role

We are seeking highly skilled and motivated Senior/Staff Digital Design Engineers with a strong focus on CMOS digital design to take end-to-end ownership of high-speed, real-time data-processing silicon, from early algorithm modelling to verified RTL and silicon bring-up. You will join a multidisciplinary group creating next-generation hardware where digital, optical and mixed-signal domains intersect. The ideal candidate will have a strong background in electrical engineering and semiconductor physics, along with a passion for developing reliable, high-performance digital circuits that drive breakthrough AI hardware.

Responsibilities
  • Architect, design and implement high‑throughput digital pipelines (multi‑GSPS input rate, continuous streaming data paths, deep pipelining and hand‑shaking) in advanced CMOS nodes

  • Prototype and iterate rapidly in FPGA (Xilinx/AMD, Intel, or equivalent): bring‑up real‑time demos, exercise high‑speed transceivers, and feed learnings back into the ASIC

  • Model algorithms and validate concepts in MATLAB/Simulink (or equivalent), ensuring functional equivalence through to gate‑level sign‑off

  • Own RTL development (SystemVerilog / Verilog / VHDL) including synthesis, static‑timing closure, formal and constrained‑random verification

  • Analyse power, performance and area (PPA); implement innovative techniques to achieve aggressive bandwidth‑per‑watt targets

  • Collaborate with optical‑hardware, mixed‑signal and software teams to optimise data‑converter interfaces, clock‑domain crossings and firmware abstractions

  • Mentor junior engineers, lead design reviews and champion best‑practice design methodologies

Skills & Experience
  • 7+ years of hands‑on digital design for high‑performance ASICs or SoCs, including ownership of at least one product that processes a continuous real‑time data stream

  • Proven success closing timing on multi‑hundred‑MHz to multi‑GHz clock domains and integrating high‑speed IP (e.g., SerDes, HBM/DDR, PCIe, 100 GbE or similar)

  • Expertise with industry‑standard EDA flows: RTL synthesis, CDC/RDC, STA, power‑intent (UPF/CPF), lint, and gate‑level simulation

  • Demonstrated FPGA prototyping skills: constraint management, transceiver tuning, and hardware debug in the lab

  • Proficiency using MATLAB/Simulink or Python/NumPy for algorithm modelling, fixed‑point analysis and test‑vector generation

  • Solid grounding in digital signal‑processing concepts, computer‑architecture fundamentals and semiconductor device physics

  • Excellent communication and cross‑functional collaboration abilities; thrives in a fast‑moving, ambiguous environment

Nice to have
  • Tape‑out experience at 22 nm or below

  • Knowledge of coherent optical links or photonic‑electronic co‑design.

  • Familiarity with AI/ML workloads, systolic arrays or tensor‑processing architectures.

  • Contributions to open‑source RTL, verification frameworks or FPGA boards.

Compensation & Equity
  • Competitive Salary: Commensurate with your experience, skills, and location

  • Equity & Ownership: Meaningful stock options. You’re not just joining the mission; you’re owning a piece of it

  • Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living-Local Bonus if your residence is within 20 minutes of the office

  • Retirement Benefits: Employer-contributed retirement plans to help you build long-term financial security

Due to U.S. export control regulations, candidates’ eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

Skills Required

  • 7+ years of hands-on digital design for high-performance ASICs or SoCs
  • Proven success closing timing on multi-hundred-MHz to multi-GHz clock domains
  • Expertise with industry-standard EDA flows: RTL synthesis, CDC/RDC, STA
  • Demonstrated FPGA prototyping skills: constraint management, transceiver tuning, and hardware debug
  • Proficiency using MATLAB/Simulink or Python/NumPy for algorithm modeling
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The Company
HQ: Durban
82 Employees
Year Founded: 2024

What We Do

The latest generation of AI models achieve breakthrough performance by using vastly more tokens to solve complex problems. As frontier models become more sophisticated, demand is compounding faster than today’s infrastructure can scale. Even the most dominant players, with full-stack control across silicon, software, and supply chains, are unable to solve this within the existing architecture. Inherent constraints in physical design and packaging mean a GPU-based approach is incapable of simultaneously delivering high throughput and high interactivity at low cost. Continuing AI’s advance and making it available to everyone requires a new compute paradigm. One that can overcome the fundamental limits of memory, energy, and speed that define today’s systems. If you like working on difficult and consequential problems, we want you at OLIX. We have offices in London, Austin, Toronto, San Francisco and Bristol. Check out our careers page at olix.com/careers

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