Job Description
Join Nexus Labs at the forefront of 2026's quantum revolution. We're seeking pioneering Quantum Computing Researchers to develop breakthrough algorithms and hardware solutions that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, working on projects that will shape the next decade of technological advancement. Our hybrid-flexible work model supports both deep focus and collaborative innovation.
As part of our Quantum Nexus Initiative, you'll access exclusive resources including cryogenic quantum processors, dedicated supercomputing clusters, and partnerships with MIT and CERN. This is your opportunity to solve problems once considered impossible while contributing to humanity's most ambitious technological leap.
Responsibilities
- Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
- Develop novel quantum error correction techniques for fault-tolerant systems
- Collaborate with hardware teams to optimize quantum gate operations and qubit stability
- Lead research initiatives in topological quantum computing and photonic quantum processors
- Publish findings in Nature/Science journals and present at IEEE Quantum Week
- Mentor PhD researchers and supervise quantum simulation projects
- Secure federal grants (NSF/DOE) and corporate partnerships for quantum research
Qualifications
- PhD in Physics, Computer Science, or Quantum Information Science with 3+ years postdoc experience
- Published research in quantum computing with >50 citations in top-tier journals
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and circuit optimization
- Deep understanding of quantum decoherence and entanglement dynamics
- Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Strong background in linear algebra, group theory, and complex analysis
- Proven ability to secure competitive research funding
- Excellent communication skills for technical and non-technical audiences