Deep Learning Compiler Verification Engineer

NVIDIA

. Develop and maintain systems for reasoning about correctness in deep learning compilers across graph transformations, IR lowering, and GPU execution .

Posted 10/31/2026full-timeUnited StatesJuniorMid-Level💰 $116,000 - $189,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in compiler development and deep learning systems, with a strong focus on optimizing performance and correctness in model execution. Proficient in Python or C++ and experienced with major deep learning frameworks, ensuring high-quality software engineering practices.

Highest-signal resume keywords

Compiler DevelopmentDeep Learning SystemsPython ProgrammingC++ ProgrammingModel Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Compiler VerificationGraph RepresentationRuntime BehaviorTest-Generation SystemsDeep Learning SolutionsPerformance MeasurementGraph RewritesMixed-Precision TransformationsMLIRFusion Passes

Soft Skills

Problem-SolvingDebuggingCollaboration

Tools & Technologies

PyTorchJAX/XLATensorRT

Industry Keywords

Deep Learning CompilersGraph TransformationsNumerical BehaviorModel TopologiesHardware Targets

Tech Stack

Tools & technologies

PythonPyTorchC++

About the role

Key responsibilities & impact

Develop and maintain systems for reasoning about correctness in deep learning compilers across graph transformations, IR lowering, and GPU execution
Work with deep learning compiler and architecture teams to analyze and validate optimizations, including graph rewrites in MLIR, fusion passes, and mixed-precision transformations
Ensure compiler optimizations preserve semantics and numerical behavior
Implement and extend test-generation systems using deep learning solutions and analysis methods
Drive in-depth testing across model topologies, precision modes, and hardware targets
Improve measurement of functional quality and performance as models, compiler stacks, and hardware evolve

Requirements

What you’ll need

BS, MS or PhD in Computer Science, Computer Engineering, Mathematics, or equivalent experience
2+ years of hands-on software engineering experience
Experience in compiler development, deep learning systems, or compiler verification
Proficiency in Python or C++
Experience with one major deep learning framework, such as PyTorch, JAX/XLA, TensorRT, or similar
Experience involving model execution, graph representation, or runtime behavior
Strong problem-solving and debugging skills
Ability to reason about model behavior and compiler-generated code
Ability to investigate correctness issues and collaborate with teammates to resolve edge-case failures

Benefits

Comp & perks

Equity
Benefits
Inclusive and supportive work environment
Equal opportunity employment