Senior Digital FPGA Engineer

JR United Kingdom; Swindon; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading machine learning company in the financial industry is seeking a Senior Digital FPGA Engineer in Swindon. The role offers an exciting opportunity to work on FPGA development in collaboration with machine learning teams, ensuring the delivery of advanced, low-latency, high-throughput applications. This position comes with competitive benefits and the possibility of hybrid working arrangements.

Benefits

Competitive benefits

Hybrid working (3 days on-site, 2 days remote)

Qualifications

• Experience in FPGA design, development, and testing.
• Proficiency in SystemVerilog, VHDL, or Verilog.
• Programming experience in C/C++ or Python.

Responsibilities

• Develop FPGA applications using SystemVerilog.
• Collaborate with software and machine learning teams.
• Focus on low-latency, high-throughput applications.

Skills

FPGA design

SystemVerilog

VHDL

C++

Python

Quartus

Vivado

Job description

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Senior Digital FPGA Engineer, Swindon, Wiltshire

Client:

Location: Swindon, Wiltshire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

Senior Digital FPGA Engineer - IP / Machine Learning in Swindon

• Based in Swindon, Wiltshire
• Opportunity to work in a leading Machine Learning / AI technology company
• Competitive benefits, hybrid working (3 days on-site, 2 days remote)

A leading machine learning company in the financial industry is seeking experienced Senior Digital FPGA Engineers to join their team. The role involves FPGA development using SystemVerilog, working closely with software and machine learning teams to develop low-latency, high-throughput applications.

Required skills and experience:

• FPGA design, development, and testing experience
• Proficiency in SystemVerilog, VHDL, or Verilog
• Programming skills in C/C++ or Python
• Experience with Quartus and/or Vivado tools
• Knowledge of low latency, machine learning, or neural network architectures is a plus but not essential

If interested, please apply with your CV.