Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine the future. As a Quantum Computing Research Scientist, you'll develop groundbreaking algorithms and systems to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment where your innovations can transform industries from healthcare to cryptography.
We're seeking visionary minds to push the boundaries of quantum mechanics and machine learning. With competitive compensation, cutting-edge resources, and a commitment to ethical innovation, this is your opportunity to shape 2026's technological landscape.
Responsibilities
- Design and implement quantum algorithms for practical applications in optimization, simulation, and machine learning
- Conduct advanced research on quantum error correction and fault-tolerant computing architectures
- Collaborate with multidisciplinary teams to integrate quantum solutions with classical computing frameworks
- Publish findings in top-tier journals and present at international quantum computing conferences
- Develop proprietary quantum software tools and libraries for internal and external use
- Lead experimental validation of quantum systems using superconducting and photonic platforms
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Proven expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Strong background in quantum information theory and many-body quantum systems
- Proficiency in high-performance computing environments and parallel programming
- Experience with machine learning frameworks and quantum machine learning applications
- Track record of peer-reviewed publications or open-source contributions in quantum computing
- Demonstrated ability to translate theoretical concepts into practical implementations