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NVIDIA

Senior Compiler Verification Engineer - Deep Learning

Posted 6 Days Ago
Be an Early Applicant
In-Office or Remote
5 Locations
136K-265K
Mid level
In-Office or Remote
5 Locations
136K-265K
Mid level
The role involves verifying new deep learning features by executing tests, generating reports, troubleshooting, and improving code coverage.
The summary above was generated by AI

We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to work on compiler verification in the AI space. You will be solving critical problems working alongside a diverse set of minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

What you’ll be doing:

In this role you will work closely with compiler developers to verify new and state of the art deep learning related features and components including crafting and executing unit, functional, and performance testing and benchmarking solutions. This would include authoring and reviewing verification plans, implementing & automating test cases and porting 3rd party tests. You will be generating test reports, isolating and classifying failures and tracking performance trends. You will help identify potential or observed weaknesses in the current process, offer ideas for actions that can improve code coverage, and participate in quality initiatives and drive continuous improvement.

What we need to see:

  • BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field (or equivalent experience)

  • 3+ years Python programming experience in Machine Learning domain

  • Experience working with Deep Learning frameworks like JAX, PyTorch or TensorFlow

  • Strong programming skills in Python

  • You should be focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills.

  • Demonstrated uses of creative thinking for solutions to exciting problems that matter.

Ways to stand out from the crowd:

  • Experience with Large Language Models

  • Experience testing production software, or developing fuzzing tools for software testing

  • Knowledge of other programming languages and domains such as CUDA.

  • Compiler knowledge: Have an understanding of how compilers work and how compilers are implemented.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us!

The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Cuda
Jax
Python
PyTorch
TensorFlow

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