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 building extensible toolchains and distributed systems. 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
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
An understanding of quantum error correction
Deep understanding of compiler toolchains, specifically LLVM/MLIR
Proficiency in GPU- and/or FPGA-programming
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 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
