Senior Director, Compute Platform Engineering

Job Description

We're hiring a Senior Director to lead the platform engineering organization that builds our embedded platform software, our build and release infrastructure, and the engineering practices the compute teams rely on. You'll set direction, build and grow the teams and their leaders, and reduce developer cycle time by creating modern and secure CI/CD systems. A big part of the job is making our developers more productive: getting more done, and getting it done faster, without losing quality. That includes putting AI and LLM tools to real use in how we build software and ensuring that these tools have a measurable impact.

Key Responsibilities

• Lead a global team of 20+ engineers, including managers and technical leads, across embedded Linux, CI/CD, build infrastructure, and developer tooling.
• Develop and execute the strategic vision, translating it into actionable roadmaps and plans.
• Optimize developer throughput and cycle times by measuring the end-to-end pipeline, setting targets, and implementing improvements.
• Identify and eliminate blockers and dependencies, automate repetitive tasks, and streamline workflows.
• Integrate AI and LLM tools into engineering processes, including code generation, testing, review, and specification work, assessing value and setting appropriate boundaries.
• Foster a culture of continuous improvement: reducing friction and toil, enhancing quality, and ensuring reliable releases.
• Experiment with innovative workflows, learn from failures, and scale successful practices.
• Maintain the security and maintainability of embedded Linux and kernel projects.
• Track key engineering metrics to inform decisions and prioritize investments.
• Hire, mentor, and develop managers and senior engineers.

Required Experience

• 10+ years in software engineering, with 5+ years in engineering management.
• Hands-on experience with embedded systems, particularly embedded Linux.
• Expertise in CI/CD, build systems, and automation for testing and releases.
• Promising track record of improving team workflows and increasing developer productivity, supported by data and tangible process/tool improvements.
• Practical experience applying AI and LLM tools in engineering environments, with a clear understanding of their benefits and limitations.
• Contributions to open source projects and familiarity with open source ecosystems.
• Strong communication skills, able to engage effectively with engineers and executive leadership.

Preferred Qualifications

• Experience managing managers or leading cross-site teams.
• Experience shipping embedded, firmware, or platform software as part of hardware products.
• Active involvement in open source communities, such as Linux.
• Proven success in implementing AI or LLM-first practices within engineering organizations, with demonstrated results.