Software Engineer, CUDA-Q

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. We are looking for a dedicated engineer with expertise in GPU-programming and compilers that is proficient in parallel and distributed programming. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering, and relish the chance to impact the future of the industry, this role may be perfect for you.

What You'll Be Doing:

• Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors

• Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components

• Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology

• Discussing and refining software designs and implementation strategies with peers

• Improving processes and infrastructure to accelerate our development

What We Need To See:

• Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience

• 5+ years of experience

• Ability working on large-scale software projects, and a proven track record of building performant and robust production software

• Proficiency in GPU-programming and a solid understanding of performance profiling, multi-processor systems, and compiler fundamentals

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

• Strong communication and collaboration skills

Ways To Stand Out From The Crowd:

• Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures

• A passion for system designing and a focus on improving extensibility

• Familiarity with FPGA programming and HDLs

• Deep understanding of compiler toolchains, specifically LLVM/MLIR

NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!