Job Description
Join Nexus Quantum Solutions at the forefront of quantum revolution. We're pioneering the next generation of computational technologies that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and tech visionaries to develop groundbreaking quantum algorithms, error-correction protocols, and hybrid quantum-classical systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore quantum supremacy applications in cryptography, materials science, and AI optimization.
We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets. Your work will directly impact our roadmap for quantum advantage, with opportunities to publish in Nature Physics and present at IEEE Quantum Week. If you're ready to shape the future of computation, apply today.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop quantum error correction techniques to achieve fault-tolerant computation
- Lead cross-functional teams in translating quantum research into commercial applications
- Author peer-reviewed publications and secure patents in quantum computing
- Collaborate with hardware teams to optimize quantum software for next-generation processors
- Mentor junior researchers and contribute to quantum education initiatives
- Stay current with emerging quantum technologies through industry conferences and workshops
Qualifications
- PhD in Physics, Computer Science, or Mathematics with quantum computing specialization
- 3+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in quantum algorithms, quantum information theory, and complexity analysis
- Publication record in top-tier quantum computing journals or conferences
- Strong proficiency in Python, C++, and high-performance computing frameworks
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to lead complex research projects with measurable outcomes