Quantum Computing Libraries Engineer

Posted 5 Hours Ago
Be an Early Applicant
Hiring Remotely in VA
Remote
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
Seeking Engineers to build CUDA-Q platform for programming Quantum-Classical systems. Responsibilities include solving problems at the intersection of libraries, programming models, HPC, and quantum computing. Requires 5+ years of experience in library development and quantum computing.
Summary Generated by Built In

NVIDIA’s Quantum Computing team is looking for Engineers to build CUDA-Q, the platform for programming Quantum-Classical systems of the future. We are seeking developers with a strong background in library development and quantum computing, a love of programming and the desire to enable quantum algorithm researchers across a range of disciplines. If you want to help define the future of programming hybrid quantum-classical systems, we want to hear from you!

What You'll Be Doing:

  • Solving difficult problems at the intersection of libraries, programming models, HPC, and quantum computing

  • Participating in the development and implementation of novel programming paradigms for hybrid quantum-classical computing

  • Discussing and refining software designs and implementation strategies with peers

  • Partnering with architects, product managers, and application teams to enable leading quantum algorithm researchers

What We Need To See:

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

  • 5+ years experience developing compilers, libraries, tools or similar

  • Proven understanding of open source software technology stacks

  • Knowledge of programming fundamentals in C++ and Python, with a deep understanding of parallel computer architectures

  • Proven ability to collaborate

Ways To Stand Out From The Crowd:

  • Experience with CUDA-Q

  • Experience with CUDA and GPU Computing

  • Background in Quantum Computing and Quantum Algorithms

NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems, including advancing the state of Quantum Information Science. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft 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!

#LI-Hybrid

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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