Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to architect next-generation quantum algorithms and hardware interfaces. This role offers unparalleled opportunity to shape the future of computational science while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco's tech epicenter provides access to quantum processors with over 1,000 qubits and a $500M R&D budget.
At Nexus Labs, we believe quantum computing will revolutionize cryptography, drug discovery, and climate modeling by 2026. You'll lead breakthrough projects in quantum error correction, topological qubit development, and hybrid quantum-classical systems. The ideal candidate thrives at the intersection of theoretical physics and practical application, pushing the boundaries of what's computationally possible.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop quantum error correction protocols to achieve fault-tolerant computation
- Collaborate with hardware teams to optimize quantum processor architectures
- Lead research initiatives in quantum machine learning applications
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure external funding through NSF and DoE grant applications
Qualifications
- PhD in Physics, Computer Science, or related field with quantum focus
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in Nature/Science or equivalent tier journals
- Deep understanding of quantum decoherence and error correction techniques
- Experience with superconducting or trapped-ion quantum systems
- Strong background in linear algebra and complex analysis
- Ability to translate theoretical concepts into practical implementations