Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're engineering the computational backbone of 2026. We seek a pioneering Quantum Computing Research Scientist to architect breakthrough solutions that will redefine industries. As a key member of our elite R&D team, you'll harness quantum algorithms to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence.
Your Impact: Work with cutting-edge quantum hardware, collaborate with Nobel laureates, and publish research that shapes the future of technology. We offer competitive equity packages, unlimited learning stipends, and access to our state-of-the-art quantum annealing facilities in the heart of Silicon Valley.
Culture of Innovation: Our flat hierarchy encourages bold experimentation. You'll lead cross-functional projects spanning quantum machine learning, error correction protocols, and hybrid quantum-classical systems. If you're driven to push the boundaries of physics and computer science, this is your moment to shape tomorrow's reality.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop quantum error correction protocols for fault-tolerant computing systems
- Lead research in quantum machine learning applications for predictive analytics
- Collaborate with hardware engineers to optimize quantum gate operations
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers and supervise graduate-level quantum computing projects
- Secure external funding through NSF and DoE quantum research grants
Qualifications
- PhD in Quantum Physics, Computer Science, or Applied Mathematics (2020-2026 graduates encouraged)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Publication record in top-tier quantum computing journals (Nature Quantum, PRL)
- Expertise in quantum algorithm design and complexity theory
- Proficiency in Python/C++ with high-performance computing optimization skills
- Deep understanding of quantum decoherence and error mitigation techniques
- Strong background in linear algebra, probability theory, and statistical mechanics