Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum computing systems. As a Quantum Computing Research Scientist, you'll work in our state-of-the-art facility in San Francisco, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges. We offer unparalleled resources, competitive compensation, and the opportunity to shape the technological landscape of 2026 and beyond.
Our interdisciplinary team operates at the intersection of quantum physics, artificial intelligence, and materials science. You'll have access to our proprietary quantum simulators and experimental hardware while contributing to breakthrough research in quantum cryptography, optimization algorithms, and molecular modeling. We foster a culture of intellectual curiosity where unconventional thinking is not just encouraged but celebrated.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead experimental research in quantum error correction and fault-tolerant computing architectures
- Collaborate with AI teams to develop hybrid quantum-classical frameworks for real-world problem-solving
- Author peer-reviewed publications and present findings at leading international conferences
- Develop quantum software tools and libraries to accelerate research adoption
- Mentor junior researchers and contribute to patent development for proprietary quantum technologies
- Partner with industry leaders to identify commercial applications of emerging quantum capabilities
Qualifications
- PhD in Quantum Physics, Computer Science, Applied Mathematics, or related field (exceptional Master's candidates with 5+ years experience may apply)
- Proven expertise in quantum algorithm development using frameworks like Qiskit, Cirq, or Q#
- Strong background in quantum error correction codes and fault-tolerant architectures
- Publication record in top-tier journals (Nature, Science, PRL) or conference proceedings
- Proficiency in Python/C++ with experience in high-performance computing environments
- Demonstrated knowledge of machine learning principles and their quantum implementations
- Experience with cryogenic systems or quantum hardware integration (preferred)