Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking visionary Research Scientists to decode quantum algorithms, optimize error correction protocols, and develop scalable quantum architectures that will redefine computational boundaries. Our state-of-the-art facility in San Francisco fosters interdisciplinary collaboration between quantum physicists, AI specialists, and materials scientists to accelerate the quantum revolution. You'll work alongside Nobel laureates and industry pioneers in an environment that values intellectual curiosity and bold innovation.
We offer comprehensive benefits including equity packages, flexible work arrangements, and dedicated R&D resources. Your research will directly impact industries from pharmaceuticals to climate modeling, positioning you at the vanguard of the next technological paradigm shift.
Responsibilities
- Design and implement quantum algorithms for complex computational problems in optimization, cryptography, and machine learning
- Develop novel quantum error correction techniques to enhance qubit stability and coherence times
- Collaborate with hardware teams to prototype and validate quantum processor architectures
- Lead research initiatives in quantum machine learning and hybrid quantum-classical systems
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and drive cross-functional innovation through quantum-AI integration projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum algorithms, quantum information theory, and quantum error correction
- Published research in quantum computing or quantum information science
- Proficiency in high-performance computing environments and parallel processing frameworks
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)