Software Engineer, CUDA-Q

Socket.dev; Washington; Hybrid; USD 152,000 - 288,000; Full time

Job summary

NVIDIA's Quantum Computing team is seeking a software engineer to help build the CUDA-Q toolchain and future interconnects for hybrid quantum-classical processors. The role focuses on creating extensible infrastructure and scalable software for inter-device communication across multiple processors.

The candidate will work on compiler-aware optimization, performance profiling, and collaboration with architects, product managers, and researchers to advance quantum computing platforms.

Qualifications

• Bachelor's degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred) or equivalent experience.
• 5+ years of experience in software development.
• Experience with large-scale production software and distributed systems.
• Solid understanding of performance profiling, multi-processor systems, and compiler fundamentals.
• Ability to quickly learn new domains and master new challenges.
• Strong communication and collaboration skills.

Responsibilities

• Build core infrastructure for inter-device communication and efficient execution across multiple processors.
• Partner with architects, product managers, and collaborators to create an extensible toolchain for quantum architectures.
• Solve problems at the intersection of compilers, HPC and quantum computing for advanced research.
• Discuss and refine software designs and implementation strategies with peers.
• Improve processes and infrastructure to accelerate development.

Skills

Distributed systems

Performance profiling

Large-scale software

Compiler fundamentals

Communication skills

Education

Bachelor's degree in Computer Science or Physics (Ph.D. or Masters preferred)

Equivalent experience

Tools

LLVM/MLIR

CUDA

GPU/FPGA programming

Inter-device communication

Job description

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!

#LI-Hybrid

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 - 241,500 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 September 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.