Job Description
Join Nexus Quantum Technologies, a pioneer in next-generation computational systems, as we redefine the boundaries of technology. We're seeking a visionary Quantum Computing Research Scientist to spearhead breakthrough research in quantum algorithms and applications. This role offers unparalleled opportunities to shape the future of computing while collaborating with world-class scientists and engineers in our state-of-the-art San Francisco facility.
Our team operates at the intersection of theoretical physics and practical innovation, developing quantum systems that will solve previously impossible problems across cryptography, materials science, and artificial intelligence. You'll work with cutting-edge hardware and contribute to patents that will define the quantum era.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental research on quantum error correction and fault-tolerant systems
- Collaborate with hardware engineers to translate theoretical models into practical quantum circuits
- Publish high-impact research in peer-reviewed journals and present at international conferences
- Develop quantum machine learning frameworks for predictive analytics and pattern recognition
- Mentor junior researchers and contribute to quantum computing curriculum development
- Secure research funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
- Proven expertise in quantum algorithm design (Shor's, Grover's, VQE, QAOA)
- Strong programming skills in Python, C++, and quantum frameworks (Qiskit, Cirq, Q#)
- Publication record in Nature/Science or equivalent high-impact journals
- Experience with superconducting or trapped-ion quantum hardware
- Demonstrated ability to secure competitive research grants
- Deep understanding of quantum information theory and complexity classes
- Excellent written and verbal communication skills for technical and non-technical audiences