Senior FPGA Engineer

OLIX

Job Overview

Location

London, United Kingdom

Employment Type

Full-time

Work Arrangement

On-site

Sector

Information Technology & Software

Experience Level

Senior (5-8 years)

Application Deadline

March 9, 2026

About the Company

OLIX is at the forefront of a technological revolution, building the next paradigm in AI hardware with their innovative Optical Tensor Processing Unit (OTPU). Recognizing the critical infrastructure gap created by the rapid growth of AI, OLIX is developing solutions that offer unprecedented performance and energy efficiency, far surpassing current chip limitations. The company aims to be the most important entity of the next decade by creating a faster, more efficient computing future.

Their mission is to address the limitations of existing hardware blueprints and usher in a new era of computing. OLIX fosters a culture of innovation, collaboration, and ownership, offering employees the chance to be part of a transformative journey and own a piece of the company's success through meaningful stock options.

Job Description

OLIX is seeking a highly skilled Senior FPGA Engineer to join our dynamic engineering team. You will be instrumental in designing and implementing the control and interface functions for our revolutionary Optical Tensor Processing Unit (OTPU) system. This role offers a unique opportunity to work on cutting-edge, high-bandwidth architectures, including high-speed interfaces, precision timing, transceivers, and complex signal processing pipelines.

You will collaborate closely with cross-functional teams, including FPGA, ASIC, hardware, optical, and software engineers, to drive both production system delivery and advanced hardware prototyping. Your expertise will be crucial in developing and optimizing critical subsystems, ensuring robust system integration, and enabling low-level driver development.

This position demands a strong understanding of precision timing, deterministic networking, and the ability to debug intricate hardware-software interactions. If you are passionate about pushing the boundaries of AI hardware and thrive in a collaborative, fast-paced environment, we encourage you to apply.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

FPGA designHigh-speed interfacesSignal processingPCIe Gen4Multi-lane transceiversPrecision timingDeterministic networkingVerilogVHDLPython scriptingXilinx/AMD UltraScale+Versal devicesCOCOTBUVVMOSVVMECCSECDEDMemory interfacesHardware prototypingLow-level driver developmentSystem integrationReal-time control logicPerformance optimizationHardware-software debugging

Key Responsibilities

Design and implement FPGA subsystems and hardware modules for high-performance systems.
Develop and optimize high-speed interface subsystems (PCIe Gen4, multi-lane transceivers operating at >25 Gb/s NRZ).
Implement and validate link integrity features including BER measurement and error correction (ECC, including SECDED).
Develop and integrate memory interfaces as required by system architecture.
Contribute to hardware prototyping activities in support of silicon development.
Collaborate with software engineers to enable low-level driver development and hardware control.
Work with hardware and optical engineers to ensure robust system integration and synchronization.
Implement timing-critical and real-time control logic.
Conduct testing, validation, and performance optimization under demanding operating conditions.
Debug complex hardware–software interactions and resolve system-level issues.

Qualifications

5+ years of FPGA design experience, including 3+ years working with high-speed interfaces and signal processing pipelines.
Strong experience with PCIe and high-speed transceivers.
Solid understanding of precision timing and synchronization in complex systems.
Experience with deterministic networking and time-distribution systems (such as White Rabbit).
Experience integrating external memory subsystems.
Verification experience using COCOTB, UVVM, or OSVVM.
Proficiency in Verilog and/or VHDL.
Python and scripting experience.
Experience with Xilinx/AMD UltraScale+ or Versal devices.
Strong debugging skills across hardware–software boundaries.
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.