NVIDIA
Quantum Computing
SoftwareEngineer,CUDA-Q
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer, CUDA-Q at NVIDIA. Skills: GPU-programming, Compilers, Parallel programming, Distributed programming. Contributing to the development of CUDA Quantum. Building core infrastructure for inter-device communication”
What You'll Achieve.
Enable ground-breaking research and technology
Industry & Context.
Solving difficult problems
What They're Looking For.
Must Have
Bachelors Degree in Computer Science, Physics or related engineering field, or equivalent experience, 5+ years of experience, Ability working on large-scale software projects, Proven track record of building performant and robust production software, Proficiency in GPU-programming, Solid understanding of performance profiling, Solid understanding of multi-processor systems, Solid understanding of compiler fundamentals, Ability to quickly develop expertise in new domains and products, Eagerness to master new challenges, Communication skills, Collaboration skills
Nice to Have
Ph. D. or Masters, Extensive knowledge about quantum computing hardware and control systems, Prior experience implementing optimization and code generation components for various quantum computing architectures, Passion for system designing, Focus on improving extensibility, Familiarity with FPGA programming, Familiarity with HDLs, Deep understanding of compiler toolchains, specifically LLVM/MLIR
What You'll Do.
Contributing to the development of CUDA Quantum
Building core infrastructure for inter-device communication
Building core infrastructure for efficient execution across multiple processors
Solving difficult problems at the intersection of compilers
HPC and quantum computing
Improving processes and infrastructure to accelerate development
How You'll Work.
Team & Collaboration
Partnering with architects, product managers, and collaborators to create an extensible toolchain; Discussing and refining software designs and implementation strategies with peers
Communication Scope
Communication skills; Collaboration skills
Full Job Description
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 har
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