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Software Engineer, CUDA-Q
full-timeUnited States$152k - $287k

Summary

Location

United States

Salary

$152k - $287k

Type

full-time

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About this role

NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise building extensible toolchains and distributed systems. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering and relish the chance to impact the future of the industry, this role may be perfect for you.

What You'll Be Doing:

  • Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors

  • Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components

  • Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology

  • Discussing and refining software designs and implementation strategies with peers

  • Improving processes and infrastructure to accelerate our development


What We Need To See:

  • Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience

  • 5+ years of experience

  • Ability working on large-scale software projects, and a proven track record of building performant and robust production software

  • A solid understanding of performance profiling, multi-processor systems, and compiler fundamentals

  • Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges

  • Strong communication and collaboration skills

Ways To Stand Out From The Crowd:

  • Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures

  • A passion for system designing and a focus on improving extensibility

  • An understanding of quantum error correction

  • Deep understanding of compiler toolchains, specifically LLVM/MLIR

  • Proficiency in GPU- and/or FPGA-programming

NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing, and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Other facts

Tech stack
Software Engineering,CUDA,Quantum Computing,Distributed Systems,Compilers,HPC,Performance Profiling,Multi-Processor Systems,Collaboration,Communication,Toolchains,Optimization,Code Generation,LLVM,MLIR,GPU Programming

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Computer Hardware Manufacturing
Founding Year: 1993

What you'll do

  • Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors. Partnering with architects and product managers to create an extensible toolchain integrating quantum architecture specific components.

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Frequently Asked Questions

What does NVIDIA pay for a Software Engineer, CUDA-Q?

NVIDIA offers a competitive compensation package for the Software Engineer, CUDA-Q role. The salary range is USD 152k - 288k per year. Apply through Clera to learn more about the full compensation details.

What does a Software Engineer, CUDA-Q do at NVIDIA?

As a Software Engineer, CUDA-Q at NVIDIA, you will: contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors. Partnering with architects and product managers to create an extensible toolchain integrating quantum architecture specific components..

Why join NVIDIA as a Software Engineer, CUDA-Q?

NVIDIA is a leading Computer Hardware Manufacturing company. The Software Engineer, CUDA-Q role offers competitive compensation.

Is the Software Engineer, CUDA-Q position at NVIDIA remote?

The Software Engineer, CUDA-Q position at NVIDIA is based in United States, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Software Engineer, CUDA-Q position at NVIDIA?

You can apply for the Software Engineer, CUDA-Q position at NVIDIA directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about NVIDIA on their website.