Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026. We're seeking a visionary Quantum Computing Research Scientist to architect the next generation of computational systems that will redefine industries. In this role, you'll collaborate with Nobel laureates and Silicon Valley innovators to develop scalable quantum algorithms, solve previously impossible problems, and shape the future of artificial intelligence, cryptography, and material science.
Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum annealers, superconducting processors, and dedicated lab space. You'll work on projects with real-world impact—from optimizing global supply chains to accelerating drug discovery—all while enjoying competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation challenges
- Lead cross-functional teams to integrate quantum solutions into enterprise systems
- Develop error-correction protocols for fault-tolerant quantum computing architectures
- Secure research funding through NSF grants and industry partnerships
- Mentor PhD candidates and publish in Nature/Science journals
- Collaborate with AI teams to develop quantum-machine learning hybrid models
- Present findings at global conferences like IEEE Quantum Week
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum gate operations, decoherence mitigation, and entanglement protocols
- Proficiency in Qiskit, Cirq, and quantum circuit simulation frameworks
- Publication record in peer-reviewed quantum computing journals
- Strong background in linear algebra, complex analysis, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations