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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Engineer - Embedded SW Development - **Company:** GE Vernova - **Location:** Salem, VA, United States - **Experience:** Expert - **Salary:** $89,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, C++ (Programming Language), Software Debugging, Dynamic-Link Libraries, Firmware, Github, Hardware Interface Design, Python (Programming Language), MATLAB, Microsoft Visual Studio, Team Foundation Server, Standard Sql, Software Engineering, System Testing, Systems Integration, Universal Asynchronous Receiver/Transmitter, Test-Driven Development (TDD), GitHub Copilot, Information Technology, Hardware Debugging - **Published:** July 30, 2026 - **Apply:** https://www.juju.com/job/00000000gkk49y ## About the Role + Bachelor's degree from an accredited university or college in computer science or engineering + 6 years of experience in firmware development including: + Experience with C/C++, PLCs, computer architecture, and embedded or industrial networking (MS Visual Studio TFS) + Strong background in electrical design, schematics, PCBA layout interpretation, and/or component specification + Experience with motor control design, power electronics, and electrical/thermal considerations (MS Visual Studio TFS) + Experience with automation, test-driven development, and engineering test frameworks (GitHub, DLL, MATLAB, Python) Desired Characteristics + Familiarity with simulation development, system validation, test bench testing, and field measurements + Knowledge of SQL, AI tools such as GitHub Copilot, and digital engineering workflows + Understanding of industry standards and design codes + Wind industry experience and a track record of delivering technology programs is preferred. + Demonstrated systems thinking, risk assessment, and technical tradeoff evaluation. + Strong collaboration, stakeholder influence, project leadership, and communication skills ## Description + Architect, design, and develop embedded firmware for the wind turbine pitch control system, including control boards, motor drive systems, and backup charging systems. + Design and implement robust control solutions for AC and DC motors, closed-loop control systems, and embedded communications interfaces such as UART/serial, SPI, and I2C. + Write, compile, test, and debug firmware throughout the full product development lifecycle, from concept through validation and release. + Develop, maintain, and use simulation models of the pitch system integrated with the full wind turbine to validate system behavior before deployment of hardware. + Apply strong systems knowledge in motor controls, batteries, ultracapacitors, and electrical design, with an understanding of the interactions between position, speed, and current in complex electromechanical systems. + Analyze and interpret electrical schematics, hardware interfaces, and control system behavior to support development and root cause investigations. + Perform hands-on hardware debugging and validation in a high-voltage laboratory environment using equipment such as digital multimeters and oscilloscopes, while adhering to all safety protocols. + Lead or support validation testing of control software and hardware, including issue debugging, failure reproduction, and investigation of field-reported events. + Review product requirements and technical specifications to ensure they are complete, clear, and testable, and provide recommendations that improve product quality and engineering processes. + Collaborate cross-functionally across GE Vernova engineering teams to develop reliable, high-performing wind turbine systems and ensure successful system integration. + Mentor junior engineers by providing technical guidance, sharing best practices, and supporting team capability growth. + Communicate effectively across technical and non-technical stakeholders, with the ability to connect detailed engineering work to broader system and business objectives. + Demonstrate understanding of key business drivers and how team contributions support broader engineering goals, product outcomes, and the wind energy industry. + Identify and apply AI-enabled tools and methods to improve engineering efficiency, quality, and ways of working. ## Related Videos - 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