NVIDIA's Quantum Computing team is looking to build the toolchain of the future by developing the CUDA-Q platform for programming hybrid quantum-classical multi-processor systems.
Requirements
- C/C++ proficiency is required
- Proficiency in algorithm analysis and implementation on heterogenous systems including CPUs, GPUs, and FPGAs.
- Experience building performant and robust production software on large-scale hardware and software projects
- Experience with quantum computing hardware and control systems
- Domain knowledge of Quantum Error Correction and/or prior experience implementing decoding algorithms
- A demonstrated history of software optimizations of real-time systems and a focus on improving extensibility
Responsibilities
- Identifying and productizing AI and algorithmic real-time decoding algorithms in collaboration with NVIDIA's Applied Research team
- Contributing to the development of CUDA Quantum libraries by building AI training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library
- Developing real-time hardware and software interfaces for the heterogenous quantum/classical computing enabled by CUDA Quantum
- Solving difficult problems at the intersection of HPC and quantum computing to enable ground-breaking research and technology
- Improving processes and infrastructure to accelerate our development
Other
- Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 8+ years of relevant work experience; Ph.D. or Masters preferred.
- Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
- Strong communication and collaboration skills
- If you're creative, autonomous, and highly motivated, we want to hear from you!
- Applications for this job will be accepted at least until September 9, 2025.
