Engineer 3 - Electrical Engineering

This role focuses on designing, developing, and supporting FPGA-based solutions for advanced robotic and medical systems. The engineer will own RTL design from architecture through validation, working hands-on across the full FPGA development lifecycle, including simulation, timing closure, hardware bring-up, and system-level debugging. The position requires close collaboration with hardware, firmware, software, and systems teams in a highly cross-functional, regulated R&D environment to deliver reliable, safety-critical technology.

Key responsibilities include, but are not limited to:
Designing, developing, optimizing, and maintaining FPGA RTL using Verilog/SystemVerilog and/or VHDL
Supporting the full FPGA development lifecycle, including synthesis, place-and-route, timing closure, and bitstream generation
Performing functional simulation, verification, and system-level debugging
Supporting board bring-up, testing, integration, and validation
Collaborating closely with hardware, firmware, software, and systems engineering teams
Documenting design decisions, test results, and process improvements
Participating in design reviews and regulated development activities

Required Skills and Experience:
4+ years of hands-on FPGA design and development experience
Strong understanding of digital logic, timing analysis, and debugging
Proficiency in Verilog/SystemVerilog
Experience with FPGA toolchains such as Xilinx Vivado, Lattice Diamond, or equivalent
Bachelors degree in Mechanical Engineering, Electrical Engineering, or a related scientific field
Robotics design exposure
Strong collaboration and communication skill.

Preferred Skills and Experiece:
Prior experience in medical devices, robotics, or safety-critical systems
Exposure to regulated environments such as FDA, IEC, or ISO
End-to-end FPGA ownership from architecture through validation
Experience debugging real hardware issues beyond simulation
Familiarity with high-speed protocols such as PCIe, Ethernet, DDR, or Aurora
Experience using simulation, verification, and hardware debug tools (logic analyzers, oscilloProducts)
Cross-functional collaboration with mechanical, systems, or clinical teams