NVIDIA Corporation

Senior Quantum Computing Libraries Engineer

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Excellent C++ and Python programming skills
  • Experience in GPU programming and multi-threading
  • Familiarity with agentic coding tools
  • Background in developing scientific software for quantum simulations
  • PhD or MSc in Computer Science, Applied Math, Physics, or a related field
  • 8+ years of software engineering experience
  • Strong collaboration and documentation skills

Responsibilities

  • Research and optimize GPU accelerated algorithms
  • Develop innovative HPC algorithms for quantum circuit simulations
  • Collaborate closely with NVIDIA Research and Product Management
  • Engage with external partners to gather use cases and requirements
  • Provide technical leadership to engineering teams
  • Analyze performance of multi-GPU and multi-node implementations

Benefits

  • Generous benefits package
  • Eligibility for equity
  • Competitive salaries
  • Opportunity to work in a high-growth, innovative environment
  • Joining a team of forward-thinking professionals
Full Job Description
This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and developing high-performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you!

What you'll be doing:
  • Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations
  • Develop innovative HPC algorithms to scale quantum circuit simulations
  • Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning
  • Interacting with external partners and researchers to understand their use cases and requirements
  • Providing technical leadership and guidance to other engineers
  • Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements

What we need to see:
  • Excellent C++ and Python programming and software design skills, including functional and performance test design
  • Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization
  • Experience with agentic coding tools
  • Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)
  • PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)
  • 8+ years of experience
  • Strong collaboration, communication, and documentation skills

Ways to stand out from the crowd:
  • Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)
  • Proven experience with HPC technologies and communication algorithms
  • Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques
  • Experience working in an agile software development environment within a globally distributed organization


With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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