Senior Firmware Engineering Manager

We are seeking a Senior Firmware Engineering Manager to lead managers and teams across PCI Express firmware delivery, tools, and validation infrastructure. You will improve how firmware is built, tested, and supported.

Responsibilities:

• Lead and manage firmware teams across development, releases, and customer support, including hiring, coaching, and workload planning.
• Partner cross-functionally with silicon design, architecture, validation, and customer engineering to resolve issues and improve product reliability.
• Drive shared tooling, lab infrastructure, and automated testing while balancing product commitments with infrastructure investments.
• Build AI-native workflows and human-on-the-loop (HOTL) processes with defined autonomy boundaries, quality gates, and intervention points.
• Turn engineering feedback into improved agent skills and repeatable process enhancements.

Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
• At least 12 overall years in engineering, including at least 6 years in engineering management.
• Leadership of engineering managers or team leads, including hiring, coaching, and career development.
• Embedded firmware development and debugging skills, including hardware interactions, PCI Express protocols, and silicon bringup or product integration.
• Delivery of engineering tools, automated validation, or continuous integration infrastructure.
• Clear technical communication and practical planning across concurrent projects.
• Hands-on experience building and optimizing reusable AI agent skills through evaluation, feedback, and iteration.
• An AI-native development lifecycle mindset, backed by experience building HOTL processes with human oversight, exception handling, and clear engineering accountability.

Preferred Qualifications:

• Firmware delivery for network adapters or switches, including link training and recovery.
• Reusable regression, lab automation, or debugging tools.
• Scaling agent workflows across engineering teams with measurable improvements in quality, delivery time, or review effort.