FPGA Engineer: Verilog, SystemVerilog & Embedded C

Job Title

FPGA Engineer: Verilog, SystemVerilog & Embedded C

Role Summary

Work on architecture and development of electronic Safe and Arm devices for Department of Defense weapon systems. The role combines FPGA design, digital algorithm development, and embedded software to deliver safety-critical hardware and firmware.

Position sits on an engineering team responsible for system design, implementation, verification, and field integration for defense applications.

Experience Level

Mid-level. The posting requests significant FPGA and embedded-systems experience but does not specify years.

Responsibilities

Key responsibilities include:

• Architect and implement FPGA designs using Verilog and SystemVerilog.
• Develop embedded software in C and integrate with FPGA logic.
• Implement and verify digital algorithms and state machines on FPGA targets.
• Debug hardware and firmware issues using simulation and lab instrumentation.
• Create and maintain testbenches, validation plans, and verification artifacts.
• Analyze requirements and translate them into hardware/firmware specifications.
• Collaborate with cross-functional teams for system integration and product delivery.
• Maintain product quality through design reviews, documentation, and testing.

Requirements

Must-have technical skills and experience:

• Proven FPGA design experience with Verilog and SystemVerilog.
• Embedded software development in C; experience with embedded systems.
• Experience with digital design and algorithm development for hardware implementation.
• Strong debugging skills for hardware and firmware.
• Experience working on safety-critical or defense-related systems is preferred.

Nice-to-have:

• Experience with C# or higher-level tooling for integration or test automation.
• Familiarity with verification methodologies and test automation frameworks.

Education Requirements

Not specified.

About the Company

Company: Efficient Computer

Headquarters: Austin, TX, USA

Developer of ultra-low-power general-purpose processors using patented technology that can consume up to 100x less energy than comparable ultra-low-power processors. Their programmable platform supports standard high-level languages and AI/ML frameworks to enable long-lived, battery-powered edge devices and energy-efficient SoCs for IoT and edge AI applications.