Design and implement the low-level device runtime for OpenAI custom silicon.

Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling.

Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads.

Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient.

Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems.

Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability.

Diagnose concurrency, memory-ordering, deadlock, race, correctness, and performance issues across software and hardware boundaries.

Build tests, tracing, profiling, observability, and reproducible workloads for runtime correctness and performance.

Partner with architecture and silicon teams to turn workload and simulator insights into hardware-software interface improvements.

You might thrive in this role if you:

Have strong low-level systems programming experience in C, C++, Rust, or comparable environments.

Have built runtimes, drivers, firmware, operating-system components, accelerator software, or adjacent systems infrastructure.

Software Engineer, AI accelerator Runtime

Responsibilities