Software Engineer, CUDA-Q Libraries - Remote

Overview

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.

In Short

• Develop the CUDA-Q platform for hybrid quantum-classical systems.
• Identify and productize AI and algorithmic real-time decoding algorithms.
• Contribute to CUDA Quantum libraries and AI training infrastructure.
• Develop real-time hardware and software interfaces for quantum/classical computing.
• Solve problems at the intersection of HPC and quantum computing.
• Improve processes and infrastructure to accelerate development.
• Collaborate with NVIDIA's Applied Research team.
• Work on large-scale hardware and software projects.
• Focus on performance and robustness of production software.
• Engage in a creative and innovative work environment.

Requirements

• Bachelor's degree in Computer Science, Physics, or related field.
• 5+ years of relevant work experience; Ph.D. or Masters preferred.
• Proficiency in C/C++ and algorithm analysis.
• Experience with heterogeneous systems (CPUs, GPUs, FPGAs).
• Strong communication and collaboration skills.
• Ability to quickly develop expertise in new domains.
• History of software optimizations in real-time systems.
• Domain knowledge of quantum computing hardware is a plus.
• Eagerness to master new challenges.

Benefits

• Competitive salary range.
• Equity options.
• Diverse and inclusive work environment.
• Opportunity to work on groundbreaking technology.
• Access to innovative projects and research.
• Support for personal and professional development.
• Comprehensive benefits package.
• Creative and autonomous work culture.
• Work with some of the most experienced professionals in the industry.