Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer breakthroughs in quantum computing for 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges across cryptography, AI, and materials science. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that celebrates intellectual curiosity.
We offer comprehensive benefits including equity packages, flexible work arrangements, and dedicated research funding. This is your opportunity to shape the technological landscape of tomorrow while advancing your career in one of the world's most vibrant tech ecosystems.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in machine learning and optimization
- Lead experimental validation of quantum systems using superconducting qubits and photonic processors
- Collaborate with cross-functional teams to develop error-correction protocols for scalable quantum networks
- Publish groundbreaking research in peer-reviewed journals and present at international conferences
- Secure federal and private research grants to advance quantum computing initiatives
- Mentor junior researchers and contribute to patent development for proprietary technologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years of industry experience
- Proven expertise in quantum algorithm development and quantum circuit optimization
- Publication record in top-tier journals (Nature, Science, IEEE) on quantum computing
- Hands-on experience with quantum computing platforms (IBM Q, Rigetti, D-Wave)
- Strong programming skills in Python, C++, and quantum-specific frameworks (Qiskit, Cirq)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Ability to translate complex theoretical concepts into practical engineering solutions