1

Phd Quantum Computing Jobs (NOW HIRING)

As a Quantum Engineer at Rigetti Computing, you will be a key contributor to the development of our ... PhD in Physics or similar applied scientific field, or Masters' in Physics with 2+ years relevant ...

Quantum Engineer

Berkeley, CA ยท On-site

$155K - $200K/yr

As a Quantum Engineer at Rigetti Computing, you will be a key contributor to the development of our ... PhD in Physics or similar applied scientific field, or Masters' in Physics with 2+ years relevant ...

Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a ... PhD in Physics, Math or Computer Science, with a focus on quantum information theory or quantum ...

Expertise in quantum algorithms and quantum information theory with a strong foundation in quantum computing. * PhD (or soon to receive one) in quantum information, quantum computation, computer ...

Expertise in quantum algorithms and quantum information theory with a strong foundation in quantum computing. * PhD (or soon to receive one) in quantum information, quantum computation, computer ...

next page

Showing results 1-20

Phd Quantum Computing information

What are the key skills and qualifications needed to thrive as a PhD in Quantum Computing, and why are they important?

To thrive as a PhD in Quantum Computing, you need deep knowledge of quantum mechanics, advanced mathematics, and computer science, along with a doctoral degree in a relevant field. Familiarity with quantum programming languages (such as Qiskit or Cirq), quantum hardware platforms, and experience with simulation tools are typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate across interdisciplinary teams and share complex concepts. These skills are vital for advancing research, developing novel algorithms, and contributing to the rapidly evolving field of quantum technologies.

What are some common interdisciplinary collaborations for a PhD in Quantum Computing?

PhD candidates in Quantum Computing frequently collaborate with experts from physics, electrical engineering, mathematics, and computer science. These collaborations often involve joint research projects, co-authored publications, and participation in interdisciplinary seminars or lab meetings. Such teamwork not only enriches research perspectives but also helps candidates develop a well-rounded skill set, which is highly valued in both academic and industry settings. Engaging with colleagues from diverse backgrounds can also lead to innovative approaches to solving complex quantum problems.

What are PhD quantum computing professionals?

PhD quantum computing professionals are experts who have completed a doctoral degree focused on the theory, development, and application of quantum computing technologies. They conduct advanced research in areas like quantum algorithms, quantum hardware, and quantum information theory. These professionals often work in academia, research institutions, or industry roles to push the boundaries of what quantum computers can achieve, solving problems that are intractable for classical computers. Their work involves both theoretical research and practical implementation, often collaborating with interdisciplinary teams.

What is the difference between Phd Quantum Computing vs Quantum Software Engineer?

AspectPhd Quantum ComputingQuantum Software Engineer
Required CredentialsPhD in Physics, Computer Science, or related fieldBachelor's or Master's in Computer Science, Physics, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, industry R&DTech companies, startups, industry R&D teams
Industry UsageResearch, development, academiaProduct development, software engineering, application deployment
Common Search/ComparisonYesYes

While both roles involve quantum technologies, a Phd Quantum Computing focuses on research, theory, and developing new quantum algorithms, often in academic or industrial R&D settings. In contrast, a Quantum Software Engineer applies quantum programming skills to develop practical applications and software solutions in industry. The roles overlap in technical knowledge but differ in focus and work environment.

More about Phd Quantum Computing jobs
What cities are hiring for Phd Quantum Computing jobs? Cities with the most Phd Quantum Computing job openings:
What states have the most Phd Quantum Computing jobs? States with the most job openings for Phd Quantum Computing jobs include:
Infographic showing various Phd Quantum Computing job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Senior Quantum Computing Libraries Engineer

Senior Quantum Computing Libraries Engineer

Nvidia

New York, NY โ€ข Hybrid

$134K - $176K/yr

Full-time

Posted 12 days ago


Job description

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. 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.

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.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993