Operating Systems Engineer, On-Device Inference | Consumer Devices

Highlights

• Design the OS stack that makes advanced AI reliable on consumer devices.
• Build inference services, scheduling and power management for devices.
• Bring novel AI capabilities from research exploration to shipped products.

What they offer

• Equity

Ideal candidate

Systems-minded engineer who loves working across hardware, software and research to ship real products. You take end-to-end ownership, thrive on zero-to-one challenges, and care about making AI useful and reliable in everyday life.

Requirements

• Substantial hands-on experience designing, developing, and debugging operating system components, system services, or performance-critical platform software.
• Proficiency in C++ for systems development, including concurrent programming, memory ownership, and resource lifetime management.
• Hands-on experience integrating or optimizing inference runtimes or machine learning workloads in resource-constrained environments.
• Strong understanding of scheduling, memory management, and how workloads compete for shared system resources.
• Experience diagnosing complex system behavior and delivering performance or power improvements supported by repeatable measurements.
• Ability to work across disciplines, translate research and product needs into system requirements, and explain technical decisions and tradeoffs clearly.