Develop, scale, and optimize GPU-accelerated simulators for CUDA-Q, our platform for hybrid quantum-classical computing, combining modern C++ and Python development with quantum computing expertise.
The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
- Designing, developing, and maintaining quantum computing simulation components in CUDA-Q
- Extending CUDA-Q with new simulation methods, optimizing existing, and exposing new capabilities for quantum dynamics and open-system simulation
- Building the software that connects CUDA-Q programs to simulation libraries, including circuit and operator representations, execution interfaces, Python bindings, and resource management
- Profiling and improving end-to-end performance, memory use, CPU–GPU data movement, and batching across GPU architectures and representative quantum workloads
- Collaborating with cuQuantum SDK, CUDA-Q, NVIDIA Research, and Product Management teams, as well as external researchers and open source contributors, to translate use cases into reliable software
- PhD or MS degree in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a related scientific or engineering field, or equivalent experience
- Nice to have: CUDA-Q
- Nice to have: cuQuantum SDK
- Nice to have: Qiskit Aer
- Nice to have: Cirq
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