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Quantum Algorithm Jobs in Livermore, CA (NOW HIRING)

Senior Software Platform Engineer

Palo Alto, CA ยท On-site

$144K - $189K/yr

These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantum also develops the algorithms and ...

Senior Software Platform Engineer

Palo Alto, CA ยท On-site +1

$144K - $189K/yr

These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantum also develops the algorithms and ...

PsiQuantum also develops the algorithms and software needed to make these systems commercially ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

PsiQuantum also develops the algorithms and software needed to make these systems commercially ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

Quantum Architect, Fault-Tolerance

Palo Alto, CA ยท On-site

$76 - $100/hr

PsiQuantum also develops the algorithms and software needed to make these systems commercially ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

Their workmayincludedeveloping and implementing quantum algorithms to address financial applications such as portfolio optimization, risk analysis, and derivative pricing. This rolerepresentsan ...

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Quantum Algorithm information

See Livermore, CA salary details

$39

$92

$121

How much do quantum algorithm jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for quantum algorithm in Livermore, CA is $92.07, according to ZipRecruiter salary data. Most workers in this role earn between $78.37 and $104.33 per hour, depending on experience, location, and employer.

Is quantum computing a good career?

A career as a quantum algorithm developer involves working with quantum programming languages like Qiskit or Cirq and understanding quantum mechanics and computer science. The field is growing rapidly with increasing research funding and industry interest, offering opportunities in academia, tech companies, and startups. Strong mathematical, programming, and problem-solving skills are essential for success in this area.

How to become a quantum algorithm developer?

To become a quantum algorithm developer, you should have a strong background in quantum computing, linear algebra, and programming languages such as Python. Gaining experience with quantum programming frameworks like Qiskit or Cirq and pursuing relevant degrees or certifications in quantum information science can also be beneficial.

How much does a quantum algorithm developer make?

Quantum algorithm developers typically earn between $100,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum computing tools like Qiskit or Cirq can earn higher salaries, often exceeding $200,000.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in developing quantum control solutions and software for quantum computing. It provides tools and expertise to help researchers and organizations improve quantum hardware performance and error correction. The company is known for its work in the quantum technology industry and collaborates with various research institutions and industry partners.

What are quantum algorithms?

Quantum algorithms are specialized sets of instructions designed to run on quantum computers, utilizing the principles of quantum mechanics such as superposition and entanglement. Unlike classical algorithms, quantum algorithms can solve certain problems much faster, such as factoring large numbers or searching databases. Notable examples include Shor's algorithm for integer factorization and Grover's algorithm for unsorted database search. As quantum computers develop, quantum algorithms are expected to revolutionize fields like cryptography, optimization, and materials science.

What are the typical collaboration opportunities for professionals working in quantum algorithm development?

Professionals in quantum algorithm development often work closely with quantum hardware engineers, classical algorithm designers, and domain experts in fields like cryptography or chemistry. Collaboration is essential, as quantum algorithm development requires aligning theoretical insights with the practical constraints of current quantum devices. Team members frequently participate in interdisciplinary meetings and code reviews, ensuring that algorithms are both innovative and implementable. This collaborative environment fosters learning and can open pathways to roles in research, technical leadership, or product management within quantum computing.

What are the key skills and qualifications needed to thrive as a Quantum Algorithm Developer, and why are they important?

To thrive as a Quantum Algorithm Developer, you need a strong background in quantum mechanics, computer science, and mathematics, often supported by advanced degrees in physics, computer science, or a related field. Familiarity with quantum programming languages (like Qiskit or Cirq), quantum computing platforms, and knowledge of classical and quantum algorithms are essential. Creative problem-solving, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills. These skills enable the development of effective quantum solutions and collaboration with interdisciplinary teams in a rapidly evolving technological landscape.
What cities near Livermore, CA are hiring for Quantum Algorithm jobs? Cities near Livermore, CA with the most Quantum Algorithm job openings:
Infographic showing various Quantum Algorithm job openings in Livermore, CA as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $191,507 per year, or $92.1 per hour.

Principal Researcher - Quantum Applications

Fujitsu Research

Santa Clara, CA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

At Fujitsu, we're on a mission to create a more sustainable world by building trust in society through innovation. Since our inception in Japan in 1935, Fujitsu has consistently been at the forefront of technological advancement. Today, we stand as a global leader in digital transformation, dedicated to reshaping businesses and society in the digital age.

What truly sets us apart is our family of nearly 130,000 dedicated employees that spans over 50 countries, forming a diverse and dynamic community. We are committed to helping our employees grow and develop their careers. We believe that everyone has the potential to achieve great things, and we are dedicated to providing the resources and opportunities that our employees need to succeed.


We invite you to take the next step in your career journey and apply. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.


We are seeking a highly accomplished Quantum Applications Researcher at Fujitsu Research of America, Inc. (FRA) to help advance our research and product strategy across quantum optimization, quantum AI/ML, quantum simulation, and quantum algorithmic primitives. This role is ideal for a researcher with a strong publication record, deep technical expertise, and the ability to translate cutting-edge quantum methods into practical applications for enterprise and scientific use cases.


The successful candidate will contribute to Fujitsuโ€™s hybrid quantum computing platform, generate high-impact intellectual property, publish in leading venues, represent the company at conferences and industry events, and build collaborations with academic, government, and commercial partners across the US and Europe. This person will also work closely with clients to identify valuable quantum use cases and develop credible technical roadmaps from research prototypes to deployable solutions.


Key responsibilities:

  1. Research:
  • Lead advanced research initiatives in one or more of the following areas: quantum compilation, quantum optimization, quantum simulation, quantum chemistry, quantum algorithm design, quantum algorithmic primitives, or hybrid quantum-classical methods.
  • Develop novel algorithms and proof-of-concept techniques that demonstrate the value of quantum approaches for real-world problems.
  • Identify promising near-term and long-term quantum applications, including NISQ-era approaches and fault-tolerant algorithmic opportunities.
  • Design and evaluate hybrid quantum-classical algorithms using simulators, quantum hardware backends, and classical high-performance computing resources.
  • Publish high-quality research papers in leading quantum computing, physics, computer science, optimization, AI/ML, and application-domain venues. Generate patentable ideas to contribute to Fujitsu's IP portfolio.
  • Represent Fujitsu at conference and industry events. Deliver technical presentations for both experts and executive audiences.
  • Mentor junior researchers and interns.
  1. Platform and product contribution:
  • Contribute to the development of Fujitsu's hybrid quantum computing platform, including algorithmic libraries, application modules, noise-aware compilation techniques, and user-facing research capabilities.
  • Collaborate with Fujitsu's platform team to convert research prototypes into robust, scalable, and reusable platform components
  • Develop reproducible code, documentation, test cases, and technical examples that support internal teams, customers, and partners.
  1. Collaboration:
  • Build and maintain research collaborations with universities, national labs, technology partners, and quantum ecosystem organizations across the US and Europe.
  • Identify opportunities for joint research programs, sponsored research, grant proposals and partnerships.
  • Liaise with our global Fujitsu team to engage enterprise and government clients on quantum use cases.


Essential requirements:

  1. PhD in Physics, Computer Science, Applied Mathematics, Electrical Engineering, Chemistry, Materials Science, or a closely related quantum-relevant field.
  2. Minimum of 4+ years of research experience after PhD in quantum computing, quantum algorithms, quantum information, quantum simulation, quantum optimization, quantum machine learning, or a closely related area.
  3. Strong research track record demonstrated through peer-reviewed publications, conference presentations, patents, open-source contributions, or recognized technical leadership.
  4. Deep understanding of quantum algorithms, hybrid quantum-classical methods, and the practical limitations of current quantum hardware.
  5. Demonstrated expertise in at least one of the following areas:
  • Quantum optimization, including QAOA, variational optimization, quantum annealing, Ising/QUBO formulations, or combinatorial optimization.
  • Quantum AI/ ML, including quantum kernels, variational quantum classifiers, quantum neural networks, generative models, quantum-enhanced learning methods, or AI/ ML for quantum systems.
  • Quantum simulation, including Hamiltonian simulation, VQE, quantum chemistry, condensed matter systems, or materials simulation.
  • Quantum algorithmic primitives, including amplitude estimation, phase estimation, QSVT, block encoding, quantum walks, or fault-tolerant algorithm design.
  1. Ability to develop original research ideas and translate them into prototypes, publications, patents, and product-relevant capabilities.
  2. Strong written and verbal communication skills, with the ability to engage both technical and non-technical audiences.
  3. Experience collaborating across disciplines and working with researchers, partners, and external stakeholders.


Preferred qualifications:

  1. Strong coding background in Python and experience developing research-grade or production-quality scientific software.
  2. Hands-on experience with quantum software frameworks such as Qiskit, PennyLane, Cirq, Tket, or related tools.
  3. Experience with AI/ML frameworks such as PyTorch, TensorFlow, JAX, scikit-learn, or related libraries.
  4. Knowledge of at least one application domain, such as finance, energy, manufacturing, pharmaceuticals, quantum chemistry, or materials science.
  5. Familiarity with NISQ-era hardware constraints, error mitigation, noise modeling, quantum resource estimation, or fault-tolerant resource analysis.


At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.

We are an equal opportunity employer and prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by law.


We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential.

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