Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will redefine computational boundaries. Our Austin-based team operates at the intersection of physics, computer science, and AI, pushing the limits of what's possible in cryptography, optimization, and machine learning.
As a key member of our Quantum Research Division, you'll collaborate with Nobel Prize-winning physicists and world-class engineers in state-of-the-art laboratories. We offer unparalleled resources, including access to quantum processors, advanced simulation environments, and industry partnerships with leading tech conglomerates. This role presents the rare opportunity to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in AI, cryptography, and materials science
- Lead experimental validation of quantum computing protocols on hybrid quantum-classical systems
- Develop error correction methodologies to achieve fault-tolerant quantum computation
- Collaborate with hardware engineers to optimize quantum processor architectures
- Publish groundbreaking research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and foster cross-functional innovation
- Secure competitive research funding through government grants and corporate partnerships
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum information theory or quantum algorithm development
- Expertise in quantum error correction and fault-tolerant computation
- Deep understanding of quantum hardware architectures (superconducting, trapped ion, photonic)
- Proven ability to translate theoretical concepts into experimental implementations
- Strong background in machine learning and classical optimization techniques
- Excellent communication skills with ability to articulate complex quantum concepts