Staff Software Engineer, Physical AI

What you'll do

• Build and implement reliable, scalable system services for physical AI workloads.
• Develop runtime infrastructure for the deployment, lifecycle management, and updates of on-device AI components.
• Create abstractions that decouple applications from underlying AI frameworks, models, and hardware accelerators.
• Build APIs, SDKs, and developer tooling to streamline the integration of AI-powered features.
• Develop observability and diagnostics capabilities to monitor performance, failures, and system behavior.
• Optimize system-level performance across CPUs and AI accelerators under edge computing constraints.
• Contribute to reference implementations, documentation, and example workflows for platform capabilities.

What we're looking for

• 6+ years’ experience crafting and building systems software, platform services, or distributed systems in production.
• 3+ years’ experience building developer platforms, SDKs, or internal tooling.
• Proficiency in C/C++, Rust, Go, or Python.
• Solid understanding of Linux-based systems, process isolation, IPC, service lifecycles, and API build and versioning.
• Strong fundamentals in algorithms, data structures, and performance optimization.
• Experience with container technologies and modern packaging/deployment approaches (preferred).
• Familiarity with edge computing, embedded Linux, or real-time systems (preferred).
• Exposure to AI/ML inference systems, heterogeneous computing, or robotics/vision systems (preferred).