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
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Top Skills
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering