Software Engineer, CUDA-Q

Job Description

Job Title: Software Engineer, CUDA-Q Libraries. Location: Remote (US — California, Texas, Washington, Massachusetts)

NVIDIA’s Quantum Computing team is looking for a skilled software engineer to help build the future of hybrid quantum-classical computing; You will work on the CUDA-Q platform, focused on developing real-time systems and libraries for quantum error correction using cutting-edge hardware like GPUs and FPGAs.

Responsibilities:

Develop and optimize AI-based real-time decoding algorithms in collaboration with NVIDIA's Applied Research team.
Build training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library.
Create and maintain hardware/software interfaces for hybrid quantum-classical computing;
Solve complex problems at the intersection of high-performance computing (HPC) and quantum computing.
Improve tools, processes, and infrastructure to speed up development.

Qualifications:

Bachelor’s degree (or equivalent experience) in Computer Science, Physics, or related engineering field. Master’s or Ph.D. preferred.
5+ years of hands-on experience in relevant software engineering roles.
Strong skills in C/C++ programming;
Experience with parallel programming on heterogeneous systems (CPUs, GPUs, and FPGAs).
Ability to quickly learn new domains and technologies.
Solid communication and teamwork skills;
Experience building reliable software for large-scale systems.

Preferred:

Background in quantum computing hardware or control systems.
Experience with Quantum Error Correction and decoding algorithms.
Track record of performance optimization in real-time systems;
Focus on building extensible and maintainable software.

Benefits & Compensation:

Competitive base salary depending on experience and location:
- Level 3: $148,000 – $235,750
- Level 4: $184,000 – $287,500
Equity options and full benefits package.
Work with a world-class team in one of the most innovative companies in high-performance and quantum computing.

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