Senior AI Kernel & Performance Engineer

Meta; Bellevue (WA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Meta is seeking an experienced kernel and performance engineer to own the performance of AI workloads at scale. You will work on roofline-level kernels, from fused attention to numerics decisions, and read hardware specs and RTL-adjacent docs to diagnose issues.

You will contribute to kernel frameworks and pre-silicon bring-up, shaping the next generation of AI accelerators. You will collaborate with teams across Meta Infrastructure and the AI & Compute Foundation to deliver high-performance,

Qualifications

• 6+ years of professional experience in high‑performance computing, accelerator kernel development, compiler backends, or systems performance engineering
• Proficiency in C++ and Python, including low-level systems programming, templates and generic programming
• Experience writing and optimizing kernels for parallel architectures such as GPU, TPU or other AI ASICs
• Familiarity with computer architecture concepts: memory hierarchies, bandwidth, latency hiding, vectorization
• Experience with MLIR, LLVM, XLA, Halide or related compiler/codegen tech
• Pre‑silicon software development and hardware/software co‑design experience

Responsibilities

• Own roofline-level kernels (GEMM, attention variants) and scalar/fused operations
• Develop and optimize kernel libraries and frameworks for rapid performance tuning
• Read hardware specs and RTL-adjacent docs to identify software bottlenecks
• Contribute to pre-silicon bring-up and validation on simulators and emulators
• Mentor engineers and guide technical direction across teams

Skills

High-performance computing

Accelerator kernel development

Compiler backends

Performance engineering

C++ programming

Python programming

GPU/AI accelerator experience

Pre-silicon software development

Education

Bachelor's degree in Computer Science / Computer Engineering / related field

Tools

CUDA

LLVM/MLIR

Triton

CUTLASS

PyTorch

Job description

Meta is seeking an experienced kernel and performance engineer to own the performance of AI workloads at scale. You will work on roofline-level kernels, from fused attention to numerics decisions, and read hardware specs and RTL-adjacent docs to diagnose issues.

You will contribute to kernel frameworks and pre-silicon bring-up, shaping the next generation of AI accelerators. You will collaborate with teams across Meta Infrastructure and the AI & Compute Foundation to deliver high-performance,