FPGA Engineer Offline

Summary

- We are looking for an experienced FPGA Engineer to join our team full-time
- Location - Bulgaria, Poland, Romania Slovakia, Bratislava. 3 times per week office visiting, they have a lab there.
- Duration - long term
- Employment contract
- Start - ASAP
- Upper-Intermediate English.

About the role

We are looking for a talented and experienced FPGA Engineer to join our team. The ideal candidate will have a strong background in FPGA development and be passionate about creating innovative solutions. This role offers the opportunity to work on cutting-edge projects that aim to develop a wireless system for neuro-interface applications. The goal is to innovate and create a solution for neuro-interface technology, improving connectivity and usability in this specialized field.

Responsibilities

• Design, develop, and debug FPGA firmware for various applications.
• Collaborate with hardware and software engineers to integrate FPGA solutions into larger systems.
• Optimize FPGA designs for performance, power, and resource utilization.
• Conduct design reviews and provide feedback to improve overall product quality.
• Stay updated on industry trends and emerging technologies related to FPGA development.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. Master's degree preferred.
• Proven experience in FPGA development using Verilog.
• Proficiency in FPGA design tools such as Lattice Radiant, Lattice Diamond, Xilinx Vivado, or Intel Quartus.
• Experience with ModelSim (QuestaSim)
• Experience with Lattice ICE40 family
• Experience with custom high-speed interfaces (e.g. SPI, QSPI, TWI).
• Excellent problem-solving and communication skills.
• Ability to work effectively in a team environment and meet project deadlines.

Nice to have:

• Proficiency in FPGA design tools Lattice Radiant and Diamond
• Experience with Clock and Data Recovery (CDR) implementation without using dedicated transceivers.
• Experience with FPGA-based embedded systems and interfacing with peripherals based on RISC V.
• Knowledge of advanced FPGA architectures and optimization techniques.
• Experience with hardware description languages (HDL) simulation tools.
• Background in machine learning algorithms.