The Staff Software Engineer, ML, Compute Platform role at Google involves developing embedded software and diagnostics tools for pre/post-silicon validation of in-house SoCs and machine learning systems. The position is part of the AI and Infrastructure team, which focuses on delivering AI and infrastructure capabilities at scale. Engineers in this role will work on projects that enhance hardware reliability and decision-making in software design and deployment. This position offers opportunities to influence technical direction and lead distributed teams on high-impact projects.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of experience working with embedded operating systems.
• 3 years of experience with software design and architecture.
• Experience with embedded systems, ARM processor, and Linux.

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.