Nvidia Software Engineer CUDA-Q Libraries 

United States, Texas 

706886918

What You'll Be Doing:

• 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

What We Need To See:

• Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 5+ years of relevant work experience; Ph.D. or Masters preferred.

• C/C++ proficiency is required

• Proficiency in algorithm analysis and implementation on heterogenous systems including CPUs, GPUs, and FPGAs.

• Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges

• Experience building performant and robust production software on large-scale hardware and software projects

• Strong communication and collaboration skills

Ways To Stand Out From The Crowd:

• 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