FPGA Engineer

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Job description

Initial 12 Month Contract

Luton (on-site)

competitive market rate

Inside IR35

About the Role:
We have an exciting opportunity for an experienced Firmware/FPGA Engineer to join our growing team in Luton. In this role, you will be responsible for delivering complex firmware that forms a key part of our self-protection systems for fast jets, UAVs, land, and naval platforms. This is a fantastic opportunity to work alongside industry experts and contribute to cutting-edge technology in a rapidly evolving field.

Key Responsibilities:

• Design and develop firmware for complex digital systems, ensuring that they meet current and future customer requirements.
• Work within a multidisciplinary team to create robust, scalable firmware solutions for high-performance self-protection systems.
• Utilize world-class design tools and facilities to deliver high-quality firmware.
• Contribute to system architecture and requirements derivation, ensuring a structured approach to firmware design and development (e.g., RTCA DO-254).
• Implement cryptography and anti-tamper techniques within firmware.
• Apply artificial intelligence techniques such as machine learning and genetic algorithms to firmware design.
• Collaborate with teams across various disciplines, including hardware and software, to deliver cohesive solutions.
• Test, verify, and debug firmware using appropriate electronics test methods and equipment.

Skills and Experience Required:

• Expertise in design tools such as Xilinx, TCL, Verilog, SystemVerilog, and UVM.
• Hands-on experience with FPGA architectures, including Xilinx 7, Xilinx UltraScale, Intel (Altera), or Microsemi (Actel).
• Strong knowledge of fast interfaces such as PCIe, Ethernet, and JESD.
• Experience with auto-generated code using model-driven engineering tools like Matlab and Simulink.
• Ability to derive detailed firmware requirements and architecture from system requirements.
• Familiarity with cryptography and anti-tamper techniques.
• Knowledge of artificial intelligence techniques, including machine learning and genetic algorithms.
• Proficiency in electronics testing methods and equipment.
• Strong communication skills, both written and verbal, and the ability to work effectively within mixed-discipline teams.

Qualifications:

• HNC/HND or Undergraduate Degree in Electronic Engineering, Computer Science, Artificial Intelligence, Games Programming, Physics, or Applied Physics.
• Alternatively, equivalent skills and experience acquired through practical experience.

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