Senior Researcher​/Principal Researcher

Senior Researcher/ Principal Researcher

Job Location:

Santa Clara, California

Location Flexibility:
Primary Location Only

Req

Posting

Start Date:

6/26/26

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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 Fujitsu'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:

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.

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.

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:

PhD in Physics, Computer Science, Applied Mathematics, Electrical Engineering, Chemistry, Materials Science, or a closely related quantum-relevant field.

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.

Strong research track record demonstrated through peer-reviewed publications, conference presentations, patents, open-source contributions, or recognized technical leadership.

Deep understanding of quantum algorithms, hybrid quantum-classical methods, and the practical limitations of current quantum hardware.

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,…