Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to architect next-gen algorithms and hardware interfaces that will redefine computational boundaries. Our Austin-based R&D hub combines cutting-edge infrastructure with collaborative, cross-disciplinary teams to accelerate breakthroughs in cryptography, materials science, and AI optimization.
This role offers unparalleled resourcesâincluding access to IBM Quantum, D-Wave systems, and our proprietary 512-qubit testbedâas you develop fault-tolerant quantum architectures. You'll collaborate with Nobel laureates, publish in Nature/Science, and directly shape the quantum ecosystem that will power the next decade of innovation.
Responsibilities
- Design and implement quantum algorithms for optimization problems in logistics, drug discovery, and financial modeling
- Develop error correction protocols to achieve fault-tolerant quantum computation
- Lead hardware-software co-design initiatives for hybrid quantum-classical systems
- Author peer-reviewed research and deliver technical presentations at IEEE/APS conferences
- Manage quantum simulation frameworks using Qiskit, Cirq, and custom toolchains
- Mentor junior researchers and supervise PhD-level quantum computing interns
- Secure patents for novel quantum methodologies and IP protection strategies
Qualifications
- PhD in Physics, Computer Science, or Quantum Information Science with 3+ years postdoc experience
- Published research in quantum error correction or topological qubit systems
- Proficiency in Python/C++ with quantum computing frameworks (Qiskit, Q#)
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and Hamiltonian simulation
- Experience with cryogenic quantum hardware and microwave control systems
- Demonstrated ability to secure $500K+ in NSF or DoE quantum research grants
- Strong track record of translating theoretical models into experimental implementations