Senior Software Engineer, ML Infrastructure, Control Plane

Experteer Overview In this role, you will design an orchestration layer for Google's AI workloads, aligning technical priorities with executive goals. You will collaborate with cross-functional teams to steer architecture and roadmaps, tackling open-ended challenges and driving milestone delivery. You'll influence engineering practices across Compute Infrastructure to ensure consistency and best practices. You will mentor an executive engineering team, helping navigate complex architectural issues, and contribute to shaping scalable AI infrastructure at scale. Compensation / Benefits * Design and deliver an orchestration layer for AI workloads * Partner with executive leadership and cross-functional teams to translate business goals into technical roadmaps * Tackle open-ended architectural challenges and contribute to engineering efforts to hit milestones * Influence technical direction and engineering practices across Compute Infrastructure * Provide technical guidance and mentorship to executive engineering teams on architectural issues Tasks * Bachelor's degree in Computer Science or related technical field or equivalent practical experience * 5 years of software development experience in one or more programming languages (Java, C++, Go, Python) * Experience in software architecture, system design, and distributed systems * Experience with Infrastructure as a Service (IaaS) cloud platforms (Google Cloud Platform) Key requirements * bonus target * equity * benefits * career growth * learn-and-grow culture * flexible work options

to executive engineering teams on architectural issues Tasks * Bachelor's degree in Computer Science or related technical field or equivalent practical experience * 5 years of software development experience in one or more programming languages (Java, C++, Go, Python) * Experience in software architecture, system design, and distributed systems * Experience with Infrastructure as a Service (IaaS) cloud platforms (Google Cloud Platform) Key requirements * bonus target * equity * benefits * career growth * learn-and-grow culture * flexible work options