Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware architectures that will redefine computational possibilities. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin R&D facility, pushing the boundaries of quantum supremacy.
Our team operates at the intersection of physics, computer science, and materials engineering to solve previously impossible problems in cryptography, AI optimization, and molecular modeling. We offer competitive equity packages, flexible hybrid work arrangements, and access to cutting-edge quantum simulators.
Responsibilities
- Design and implement novel quantum algorithms for practical industrial applications
- Lead experimental validation of quantum hardware prototypes in cryogenic environments
- Develop error correction protocols to achieve fault-tolerant quantum systems
- Collaborate with cross-functional teams to translate theoretical models into scalable solutions
- Publish breakthrough research in peer-reviewed journals and present at international conferences
- Secure federal and private funding through grant proposals and industry partnerships
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Proven expertise in quantum circuit design and quantum error correction
- Published research in top-tier quantum computing journals (e.g., Nature Quantum Information)
- Hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Strong background in linear algebra, statistical mechanics, and computational complexity
- Experience with cryogenic quantum hardware systems or superconducting qubits
- Demonstrated ability to secure research funding through NSF or DOE grants
- Exceptional problem-solving skills and ability to thrive in ambiguous research environments