Engineering Manager, AI Compiler Verification & Strategy

NVIDIA

Austin (TX)

On-site

USD 168,000 - 322,000

Full time

14 days+

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Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an Engineering Manager to lead verification of next-generation AI compilers and workloads. This hands-on leadership role focuses on ensuring high-quality AI compiler transformations and generated GPU programs through formal and empirical verification methods.

You will collaborate with AI compiler development, CUDA software, ML frameworks, and runtime teams to scale verification infrastructure and accelerate engineering velocity. Equity and comprehensive benefits are provided.

Qualifications

BS, MS, or PhD in CS/CE or equivalent experience.
10+ years of relevant software engineering experience, including 3+ years leading teams.
Experience with AI compiler or framework technologies such as MLIR, TensorRT, XLA, Triton, PyTorch, or JAX.
Fluency in AI workload and ML framework concepts: graphs, tensor operations, model execution, and training/inference workflows.
Strong people management including hiring, mentoring, performance management, and team development.

Responsibilities

Lead, mentor, and grow a highly technical team responsible for AI compiler verification.
Own verification of next-gen AI workloads across the AI compiler stack and execution pipeline.
Define formal verification requirements for AI compiler transforms and generated GPU programs.
Drive AI-assisted and compiler-aware verification techniques (adversarial workloads, differential testing, symbolic reasoning, formal methods, fuzzing).
Partner with AI compiler development, CUDA software, ML framework, runtime, product, and AI software teams to build scalable verification infrastructure.