Job Description
Join Nexus Innovations at the forefront of technological revolution as we pioneer the next wave of quantum computing breakthroughs. We're seeking a visionary Quantum Computing Research Scientist to architect scalable quantum algorithms and transform theoretical concepts into real-world applications. Our Austin-based innovation lab offers unparalleled resources to explore quantum supremacy, error correction, and hybrid quantum-classical systems.
You'll collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels progress. We provide competitive equity packages, flexible research budgets, and access to IBM's 127-qubit Eagle processor. This role directly contributes to our 2026 quantum roadmap, positioning you at the epicenter of the second quantum revolution.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Develop error mitigation techniques to enhance quantum circuit fidelity beyond current industry standards
- Lead cross-functional teams to integrate quantum solutions with classical computing infrastructure
- Publish peer-reviewed research in top-tier journals and present at international quantum conferences
- Secure research grants and patents for breakthrough quantum methodologies
- Mentor junior researchers in quantum physics and computational theory
- Partner with hardware teams to co-design next-generation quantum processors
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 5+ years of quantum research experience
- Expertise in quantum circuit design, Qiskit, or Cirq frameworks
- Published record in Nature/Science journals or equivalent high-impact publications
- Deep understanding of quantum decoherence and topological qubit architectures
- Proven ability to translate theoretical quantum models into practical implementations
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
- Strong background in linear algebra, probability theory, and statistical mechanics