Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and architectures that solve previously impossible computational challenges. This role offers unparalleled opportunities to shape the future of technology while collaborating with world-class physicists and engineers in our state-of-the-art San Francisco facility.
Our team operates at the intersection of quantum mechanics, artificial intelligence, and materials science. You'll work on cutting-edge projects including quantum error correction, topological qubit design, and hybrid quantum-classical systems. We offer competitive compensation, equity packages, and a culture that celebrates intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead research in quantum error correction and fault-tolerant quantum computing architectures
- Develop hybrid quantum-classical computing frameworks for near-term quantum advantage
- Collaborate with hardware teams to translate theoretical models into practical quantum systems
- Publish breakthrough research in peer-reviewed journals and present at international conferences
- Secure external research funding through NSF and DARPA proposals
- Mentor junior researchers and foster a culture of scientific excellence
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of quantum algorithms and complexity theory
- Proven track record of publishing high-impact quantum research
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in linear algebra, quantum mechanics, and statistical physics
- Excellent written and verbal communication skills for technical audiences