Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. You'll work in our state-of-the-art Austin facility alongside Nobel laureates and industry pioneers, pushing the limits of quantum mechanics to solve humanity's most complex challenges.
This role offers unparalleled opportunities to shape the future of technology while contributing to breakthrough applications in cryptography, materials science, and AI optimization. Our collaborative environment fosters creativity and intellectual rigor, providing resources for cutting-edge research and professional development.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in 2026 technology landscapes
- Lead research initiatives in quantum error correction and fault-tolerant computing systems
- Collaborate with engineering teams to prototype and validate quantum hardware solutions
- Publish groundbreaking research in top-tier scientific journals and industry conferences
- Mentor junior researchers and contribute to the quantum computing knowledge ecosystem
- Secure external funding through NSF, DARPA, and private foundation grants
- Develop roadmaps for quantum integration with classical computing infrastructures
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Expertise in quantum circuit design, QIP, and quantum information theory
- Proven track record publishing in Nature/Science or equivalent tier journals
- Proficiency with quantum programming languages (Qiskit, Cirq, Quil)
- Experience with superconducting or trapped-ion quantum platforms
- Demonstrated ability to secure competitive research grants
- Strong background in machine learning and high-performance computing
- Excellent communication skills for technical and non-technical audiences