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NVIDIA

Senior Engineer - Deep Learning Compiler Verification and Infrastructure

Reposted 2 Days Ago
In-Office or Remote
5 Locations
136K-265K
Mid level
In-Office or Remote
5 Locations
136K-265K
Mid level
The role involves verifying deep learning compiler features with testing and benchmarking solutions, collaborating with developers, and improving code quality.
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 implement compiler verification software & related infrastructure 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 implementing and executing functional and performance testing and benchmarking software solutions. This would include authoring and reviewing verification plans, and implementing verification programs, scripts, and libraries. You will apply deep learning and other sophisticated techniques to implement compiler verification solutions. 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 programming experience in Machine Learning domain, preferably using Python

  • Experience working with Deep Learning frameworks such as JAX, PyTorch or TensorRT

  • Focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills.

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

Ways to stand out from the crowd:

  • Experience with Large Language Models and application of deep learning to solve software engineering problems

  • Hands-on compiler development or verification experience

  • Knowledge of related programming languages and domains such as CUDA

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 11, 2025.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
Tensorrt

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