Software Engineer, CUDA-Q Libraries

NVIDIA

138d • $184,000 - $287,500

About The Position

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 real-time systems, GPU-programming, and 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 high-performance algorithm implementation, and relish the chance to impact the future of the industry, this role may be perfect for you.

Requirements

• 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
• 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

Nice To Haves

• 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

Benefits

• Equity and benefits

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees