• FPGA Mastery: Maintain expert-level proficiency in FPGA architecture, hardware description languages (HDLs), vendor toolchains, and modern verification methodologies.
• Robust Architecture: Design performant, low-latency, and deterministic FPGA configurations that are highly testable, maintainable, and compliant with stringent system requirements.
• Defect Resolution: Rapidly diagnose, root-cause, and resolve complex hardware/software defects using advanced debugging techniques and simulation tools.
• Documentation: Author clear, comprehensive technical documentation including architectural specifications, requirements traceability, and test plans/results.
• Technology Scouting: Keep abreast of the evolving state-of-the-art in FPGA technologies, SoC architectures, & agile hardware development methodologies to maintain the company’s competitive edge.
• Autonomy & Ownership: Highly self-directed; effectively prioritizes competing tasks and manages resources to deliver complex deliverables on schedule without requiring micro-management.
• Operates with a solution-oriented mindset, maintaining momentum, productivity, and positive energy when tackling complex, ambiguous, or high-pressure engineering challenges.

Qualifications & Experience

• Bachelor of Engineering (Electrical/Electronic, Computer Systems, or Mechatronics) or equivalent professional qualification.
• Experience: 5+ years of hands-on FPGA development experience in commercial, industrial, aerospace, defense, robotics, or similar high-reliability environments.
• Vendor Ecosystems: Proven hands-on experience with both AMD/Xilinx (Vivado) and Microchip toolchains and device architectures.
• Advanced VHDL Proficiency: Deep expertise in hardware description languages, specifically including:
• Advanced timing constraints (SDC/XDC), timing analysis, and achieving timing closure on high-utilization designs.
• Hardware-in-the-loop debug techniques (e.g., ChipScope/ILA, SignalTap).
• Safe clock domain crossing (CDC) practices in complex, multiclock domain architectures.
• Clock management and distribution utilizing on-chip PLLs/MMCMs.
• Fixed-point and floating-point digital signal processing (DSP) implementation, including digital control loops (e.g., PID filters, digital tracking loops, and phase-locked loops) implemented in fabric.
• Interfacing with high-speed, high-precision data converters, including driving DACs for phase modulation and reading from ADCs for photodetector/sensor signals.
• High-speed memory and digital interfaces (e.g., DDR3/DDR4, PCIe, LPDDR, gigabit transceivers).
• Physical/electrical communication layers (differential signaling, LVDS, termination strategies).
• Low-level communication protocols (SPI, I2C, UART, CAN).
• Knowledge of PCB constraints regarding FPGA pin layout, signal grouping, and differential pair limitations.
• Strong debugging and troubleshooting skills using laboratory equipment such as oscilloscopes, logic analyzers, spectrum analyzers, and protocol analyzers.

• Experience with FPGA verification methodologies, testbench development, and simulation frameworks.
• Experience designing, developing, or maintaining automated verification and validation test infrastructures.
• Familiarity with higher-level languages for automation, modeling, and scripting (Python, MATLAB, Bash).
• Experience with sensor systems, navigation systems, signal processing, control systems, or embedded real-time platforms.
• Experience with CI/CD workflows, version control systems, and automated build environments.
• An understanding of optics and optoelectronics as they pertain to high-precision instrumentation (e.g., Fiber Optic Gyroscopes).
• Familiarity with modern software/hardware verification frameworks (e.g., UVVM, OSVVM, or UVM).
• Comprehensive knowledge of Work Health and Safety (WHS/HSE) practices within a laboratory or manufacturing environment.

• Good communication and interpersonal skills with the ability to work effectively across multiple engineering disciplines.
• Ability to collaborate in a highly integrated multidisciplinary team environment.
• Proactive approach to problem solving and continuous improvement.
• Strong ownership mindset and accountability for technical outcomes.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Commitment to knowledge sharing, mentoring, and fostering a collaborative engineering culture.