Engineering Manager, GPU Reliability, Accelerators

• Architect the GPU Reliability Systems Operations and Tooling SW organization to transition from NPI-specific task forces into a centralized organization.
• Drive the GPU support strategy by developing a roadmap for fleet health reliability, capacity turn-up, and automated health management.
• Establish and enforce Service Level Objectives and Service Level Indicators for GPU Pod availability and performance.
• Sponsor automation and toil reduction efforts by driving the development of advanced telemetry and debugging tooling.
• Manage high-severity escalations for critical hardware and software issues, leading incident response and blameless post-mortems.

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience with software architecture and embedded systems.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with GPU programming, systems reliability and computer architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience working in a complex, matrixed organization.
  
• Experience in organizational design to consolidate task forces, steering platforms from New Product Introduction to General Availability.
• Experience operating in a Cloud environment and partnering with strategic customers to improve infrastructure.
• Experience leveraging AI platforms, Generative AI Agents, and distributed systems for software development.
• Strong background in GPU Systems Operations, designing automated diagnostic frameworks and telemetry for hardware and software faults.

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience with software architecture and embedded systems.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience with GPU programming, systems reliability and computer architecture.