Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel Prize-winning physicists and industry disruptors to build scalable quantum systems. Our Austin Innovation Hub offers unparalleled resources including 300-qubit quantum processors and dedicated time on IBM Quantum systems. We provide comprehensive benefits including equity grants, flexible work arrangements, and annual research stipends. If you're passionate about solving humanity's greatest challenges through quantum mechanics, this is your opportunity to shape the future.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead cross-functional research teams in quantum error correction and fault-tolerant systems
- Publish findings in top-tier journals (Nature, Science, Physical Review X) and present at IEEE Quantum Week
- Develop quantum machine learning frameworks for next-gen AI applications
- Collaborate with hardware teams to co-design quantum processors with 100+ qubit stability
- Secure federal and private research grants for quantum computing initiatives
- Mentor junior researchers in quantum information theory and experimental physics
Qualifications
- PhD in Physics, Computer Science, or Quantum Information with 5+ years research experience
- Published work in quantum algorithms or quantum error correction (3+ peer-reviewed papers)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical HPC systems
- Experience with superconducting or photonic quantum computing platforms
- Deep understanding of quantum many-body systems and topological quantum computing
- Track record of securing research funding (NSF, DoE, or corporate partnerships)
- Expertise in quantum cryptography and post-quantum security protocols