Firmware Engineer II

Job Summary

The Firmware Engineer II is primarily responsible for designing, developing, and testing firmware for high-volume electronic products in the vehicle emergency and safety industry that meet cost, performance, cybersecurity, regulatory, and schedule requirements. This role contributes to innovative product development through cross-functional collaboration, supports sustaining engineering and field issue resolution, and applies current engineering practices including data-driven development, automated verification, and responsible use of AI-assisted tools to improve firmware quality, test coverage, and development efficiency.

Essential Responsibilities and Functions

• Firmware design, coding, test, and documentation for microcontroller-based products, following ESG's product development processes.
• Help develop functional specifications and detailed design documentation for new products, working within an Agile/Scrum framework.
• Collaborate with cross-functional teams to estimate schedules and deliver development tasks.
• Develop and execute detailed test plans to ensure systems meet functional, performance, reliability, and safety requirements.
• Participate in continuous improvement of product development processes.
• Maintain and follow proper design processes for high-reliability, secure firmware, including traceability, code reviews, and defect prevention practices.
• Analyze and resolve field problems; perform root cause analysis and determine corrective and preventive actions.
• Support the work of other engineers on project teams through technical collaboration, peer reviews, and knowledge sharing.
• Participate in technical reviews and code inspections of firmware and supporting tools developed by the group.
• Use AI-assisted engineering tools responsibly to accelerate code analysis, test generation, documentation, log analysis, and defect triage while maintaining engineering judgment, traceability, and compliance with company policies.
• Contribute to development of embedded features that interface with AI-enabled systems, sensors, or edge analytics where applicable, including support for data capture, telemetry, model integration requirements, and real-time constraints.
• Help define verification approaches for AI-adjacent firmware behavior, including testability, performance monitoring, fail-safe behavior, and robustness in safety-relevant operating conditions.
• Perform other related duties as assigned.

Qualifications to Succeed

• Bachelor of Science in Computer Engineering, Electrical Engineering or Computer Science
• Minimum of 5 years of related experience in analysis, design, coding, and testing C/C++ code for embedded systems used in commercial applications.
• Ability to work effectively in cross-functional teams.
• Experience designing with serial networks and embedded communications protocols (e.g., RS485, CAN, LIN).
• Strong understanding of hardware and proficiency with lab equipment such as oscilloscopes and DMMs.
• Advanced debugging and troubleshooting techniques for embedded systems.
• Willingness to learn and grow with input from other team members while following coding standards and engineering best practices.
• Experience with version control systems, defect tracking systems, and static source code analysis tools.
• Ability to work independently as well as at the direction of others.
• Good written and verbal communication skills.
• Familiarity with AI-assisted development tools and the ability to use them responsibly for code review support, test generation, documentation, and engineering productivity in a controlled development environment.

Desired

• Advanced Engineering degree.
• Experience in the automotive industry, including V2V and V2X systems.
• Experience with Microchip, Atmel, and Cypress PSoC chipsets along with their associated IDEs.
• Experience with Git/Git Hub for version control.
• C#/.NET experience to create tools for test and other non-product purposes.
• Experience developing design documentation using UML state charts, flowcharts, sequence diagrams, and similar methods.
• Wireless and IoT experience.
• Exposure to edge AI, embedded ML, sensor fusion, or firmware support for AI-enabled features in connected devices.
• Experience…