Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the next frontier of computational technology. As we approach 2026, we seek a visionary Quantum Computing Research Scientist to architect breakthrough solutions that will redefine industries. You'll collaborate with Nobel laureates and cutting-edge engineers in our state-of-the-art San Francisco facility, developing algorithms that solve previously impossible problems in cryptography, material science, and AI optimization. We offer unparalleled resources, including access to 1,000-qubit processors and a $50M research budget.
Our team operates at the intersection of physics, computer science, and engineering. You'll publish groundbreaking research in Nature and Science while mentoring the next generation of quantum pioneers. With comprehensive benefits including equity, relocation assistance, and flexible work arrangements, we're committed to your professional growth and work-life integration.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error-correction techniques to advance fault-tolerant quantum systems
- Lead experimental validation of quantum protocols on superconducting and photonic platforms
- Collaborate with industry partners to translate theoretical breakthroughs into commercial applications
- Author peer-reviewed publications and present findings at premier international conferences
- Secure federal and private research funding through grant proposals
- Mentor junior researchers and contribute to quantum computing curriculum development
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Expertise in quantum information theory and quantum circuit design
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Strong publication record in high-impact journals (Nature, Science, PRL)
- Experience with cryogenic systems and quantum hardware interfaces
- Demonstrated ability to secure competitive research grants
- Deep knowledge of machine learning and classical computing architectures