Job Description
Join Nexus Quantum Labs at the frontier of technological innovation. We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthrough solutions that will redefine computing by 2026. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to develop quantum algorithms, optimize error correction protocols, and translate theoretical models into scalable applications. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research, including access to quantum simulators, cryogenic systems, and a $50M research fund. If you're driven to solve humanity's most complex challenges—from drug discovery to climate modeling—this is your opportunity to shape the quantum future.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications.
- Lead research in quantum error correction and fault-tolerant architectures to achieve practical quantum advantage.
- Develop hybrid quantum-classical frameworks for solving NP-hard problems in finance, logistics, and materials science.
- Collaborate with engineering teams to prototype quantum solutions and validate performance on real hardware.
- Publish groundbreaking research in Nature, Science, or IEEE journals and present at premier conferences like Q2B.
- Mentor junior researchers and contribute to patent development for proprietary quantum technologies.
- Partner with industry leaders to identify commercial applications and roadmap productization strategies.
Qualifications
- PhD in Quantum Physics, Computer Science, Mathematics, or related field with 3+ years of quantum computing research experience.
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization techniques.
- Strong publication record in top-tier journals/conferences with demonstrable impact in quantum algorithms or error correction.
- Proficiency in high-performance computing environments and quantum simulation frameworks (Quil, Q#).
- Deep understanding of quantum mechanics, linear algebra, and complexity theory.
- Experience with cloud-based quantum platforms (IBM Quantum, Amazon Braket) and hardware integration.
- Exceptional problem-solving skills with ability to abstract complex real-world problems into quantum models.