Job Description
Shape the future at Nexus Labs – where 2026's quantum revolution begins. We're seeking a pioneering Quantum Computing Research Scientist to architect breakthroughs that will redefine computational paradigms. Join our elite team in San Francisco working with cutting-edge hardware and next-gen algorithms. This role offers unparalleled resources to explore quantum supremacy, error correction, and practical applications in cryptography, AI, and materials science. Enjoy competitive compensation, equity, and the chance to publish groundbreaking research.
Our state-of-the-art quantum lab features 128-qubit processors and dedicated time on industry-leading supercomputers. You'll collaborate with Nobel laureates and MIT-trained engineers while developing proprietary quantum frameworks. We invest heavily in professional development through our Quantum Academy and provide flexible work arrangements for optimal innovation.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead research in quantum error correction and fault-tolerant system architectures
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Publish high-impact research in Nature Physics/Science and present at IEEE Quantum Week
- Mentor junior researchers and drive quantum computing curriculum development
- Secure $500K+ in research grants from NSF and DARPA programs
- Collaborate with hardware teams to co-design quantum processors and control systems
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit optimization
- Published record in quantum computing or quantum information theory (Nature/IEEE journals)
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave) and quantum simulators
- Demonstrated ability to lead multi-disciplinary research teams and secure research funding
- Proficiency in Python/C++ and high-performance computing environments