Job Description
Join Nexus Labs at the forefront of 2026's quantum revolution! We're seeking a pioneering Quantum Computing Research Scientist to architect next-gen computational paradigms. Shape the future of technology by developing breakthrough quantum algorithms, optimizing error-correction protocols, and bridging theoretical physics with practical applications. Our state-of-the-art facility in San Francisco offers unparalleled resources for your research, including access to quantum annealers and superconducting qubit systems. Collaborate with Nobel laureates and industry disruptors while contributing to projects that will redefine computing power.
We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning opportunities through our Quantum Academy. Your work will directly impact sectors from pharmaceutical discovery to climate modeling. If you're passionate about solving humanity's most complex challenges through quantum innovation, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop quantum error correction techniques to enhance qubit stability
- Lead experimental validation of quantum computing architectures on hardware platforms
- Collaborate with software engineers to create quantum-classical hybrid computing frameworks
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers in quantum physics and computational theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in Nature/Science or equivalent quantum computing journals
- Proficiency in Python, C++, and low-level quantum hardware interfacing
- Deep understanding of quantum entanglement and decoherence phenomena
- Experience with quantum machine learning algorithms
- Demonstrated ability to translate theoretical models into experimental protocols
- Strong background in linear algebra and complex analysis