Senior Engineer - Deep Learning Compiler Verification and Infrastructure

at Nvidia
📍 Santa Clara, United States
USD 136,000-264,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Python @ 6 Machine Learning @ 6 scikit-learn @ 4 Mathematics @ 4 Debugging @ 7 PyTorch @ 4 CUDA @ 4 GPU @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world.

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.

Responsibilities

  • Work closely with compiler developers to verify new and state-of-the-art deep learning related features and components.
  • Implement and execute functional and performance testing and benchmarking software solutions.
  • Author and review verification plans; implement verification programs, scripts, and libraries.
  • Apply deep learning and other sophisticated techniques to implement compiler verification solutions.
  • Identify potential or observed weaknesses in the current process and propose actions to improve code coverage.
  • Participate in quality initiatives and drive continuous improvement.

Requirements

  • BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field (or equivalent experience).
  • 3+ years programming experience in the Machine Learning domain, preferably using Python.
  • Experience working with deep learning frameworks such as PyTorch, Scikit-Learn, JAX/XLA or TensorRT.
  • Strong analytical skills with attention to detail; focused and quick learner.
  • Strong troubleshooting and debugging skills.
  • Proven creative problem-solving abilities.

Ways to stand out

  • Experience with Large Language Models and applying deep learning to solve software engineering problems.
  • Hands-on compiler development or verification experience.
  • Knowledge of related programming languages and domains such as CUDA, Docker, and GPU-accelerated cloud environments.

Benefits & Compensation

  • Competitive base salary (range varies by level and location).
  • Eligible for equity and benefits.
  • NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.

Compensation Ranges (base salary)

  • Level 3: 136000 USD - 212750 USD
  • Level 4: 168000 USD - 264500 USD

Applications for this job will be accepted at least until December 26, 2025.