NVIDIA Logo

NVIDIA

Senior Engineer - Deep Learning Compiler Verification and Infrastructure

Posted 25 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

Similar Jobs

12 Hours Ago
Remote
USA
167K-197K Annually
Senior level
167K-197K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Partner with finance stakeholders to implement and configure Kyriba and other financial applications, perform analysis, lead testing, and support business process transformation.
Top Skills: BoomiJIRAKyribaMulesoftNetSuiteOracleRest ApiSAPSftpSoap WebservicesWorkato
12 Hours Ago
Remote
USA
152K-179K Annually
Junior
152K-179K Annually
Junior
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The role involves building and maintaining deployment systems in Golang, designing scalable solutions, and providing support to internal engineers.
Top Skills: BlockchainCloud TechnologyGo
12 Hours Ago
Remote
USA
194K-228K Annually
Senior level
194K-228K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Manage strategic credit and debit card partnerships at Coinbase, optimizing execution, aligning KPIs, and collaborating with marketing and product teams for growth.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account