Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to decode the mysteries of quantum mechanics and transform theoretical possibilities into real-world applications that will redefine industries.
In this cutting-edge role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility. You'll develop novel quantum algorithms, optimize qubit stability, and contribute to breakthroughs that will power the next generation of AI, cryptography, and material science.
Our team operates at the intersection of physics, computer science, and innovation, offering unparalleled resources and a culture that celebrates intellectual curiosity. If you're ready to shape the technological landscape of tomorrow, this is your moment.
Responsibilities
- Design and implement quantum algorithms for optimization and simulation problems
- Develop error-correction protocols to enhance qubit coherence and stability
- Collaborate with hardware engineers to improve quantum processor architectures
- Publish peer-reviewed research in leading quantum computing journals
- Lead cross-functional teams to translate quantum research into commercial applications
- Stay current with emerging quantum technologies and industry breakthroughs
- Present findings at international quantum computing conferences and symposiums
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of hands-on quantum computing research experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum algorithms or quantum information theory
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
- Demonstrated ability to translate complex quantum concepts into practical solutions
- Strong collaborative skills working in interdisciplinary research environments