Nvidia Compiler Debug Verification Engineer 

United States, Texas 

740430617

What you’ll be doing:

This role offers a great opportunity to be at the forefront of compiler verification, ensuring our brand-new technology maintains its premier standard. You will:

• Investigate the fascinating world of object files and executables generated by Compute and DSL compilers; Design and enhance tools to inspect them and make them iron clad.

• Immerse yourself in debugger internals and debug information generated for correctness and efficiency.

• Analyze performance degradation or functional defects in compute and DSL compilers, identify root causes of regressions, suggest corrective actions, and perform reviews to continuously improve testing.

• Automate compiler testing using NVIDIA test frameworks and programming. This includes test execution, test reporting, results analysis, and automation of build and test environments.

• Collaborate with software compiler developers to provide automated solutions for unit testing.

• Apply current iterative planning and test development processes. Identify potential gaps in existing test coverage and work on closing test gaps.

What we need to see:

• Bachelor’s or Master’s Degree in Computer Science/Computer Engineering or equivalent experience.

• 3+ years’ work experience in a software development or test organization.

• Deep understanding of Software Development Process (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies.

• Expertise in compilers / Low-level software tools, understanding how they work and are implemented, with a proven track record to solve problems and implement solutions.

• Ability to simplify sophisticated code to reproducible errors with minimal external dependencies.

• Experience in writing test plans, test development, test automation, test execution, and reporting in a production environment.

• Proficiency in programming and/or testing in C/C++/CUDA and Python languages.

• Knowledge of deep learning frameworks such as PyTorch, TensorRT, JAX and Numba as well as other deep learning applications is highly desired

• Excellent communication skills, self-motivated, and well-organized.

Ways to stand out from the crowd:

• 5+ years’ experience testing production software, preferably compilers or other system software.

• Experience with LLVM project, MLIR, LLVM IR; Debuggers like GDB, LLDB; ELF and Dwarf Standards.

• Previous experience in compiler development,verification/testing,or performance analysis; plus unit-test development in system software.

• Proficiency with NVIDIA CUDA Toolkit, especially solving issues and debugging in a Linux environment.

• Experience with revision control software and management tools, such as Git, Perforce, JIRA, Confluence, and Make