Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. We're seeking a Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will solve previously impossible computational challenges. You'll work in our state-of-the-art Austin facility alongside Nobel Prize-winning physicists and industry disruptors, contributing to projects that will revolutionize cryptography, drug discovery, and artificial intelligence.
Our team operates at the intersection of theoretical physics and practical application, with access to quantum hardware and software platforms that are years ahead of industry standards. This role offers unparalleled opportunities to shape the future of computation while collaborating with some of the brightest minds in technology. If you're passionate about pushing the boundaries of what's possible in quantum systems, we invite you to apply.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error correction techniques to enhance quantum coherence in multi-qubit systems
- Collaborate with hardware engineers to translate theoretical models into practical quantum circuits
- Lead research publications in peer-reviewed journals and present findings at international conferences
- Mentor junior researchers and cross-functional teams on quantum computing principles
- Identify commercial applications for quantum solutions in finance, logistics, and materials science
- Secure research grants and partnerships with academic institutions and government agencies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
- Expertise in quantum circuit design and quantum programming languages (Qiskit, Cirq, Q#)
- Published work in quantum algorithms or quantum error correction
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing environments and parallel processing
- Proven ability to translate theoretical concepts into practical implementations
- Demonstrated success in securing research funding or intellectual property