Job Description
Join Nexus Labs at the forefront of quantum innovation as we prepare for the quantum revolution of 2026. We're seeking a pioneering Quantum Computing Research Scientist to develop breakthrough algorithms and applications that will redefine computational capabilities. You'll collaborate with world-class physicists and engineers in our state-of-the-art lab, pushing the boundaries of quantum supremacy while solving real-world challenges in cryptography, optimization, and machine learning.
As a key member of our 2026 Quantum Initiative, you'll lead cutting-edge research projects with access to our 128-qubit quantum processor. This role offers unparalleled opportunities to shape the future of technology and contribute to breakthroughs that will impact industries worldwide. If you're passionate about quantum mechanics and ready to solve problems once thought impossible, we invite you to apply.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, logistics, and AI
- Lead research initiatives targeting quantum advantage in 2026 computational benchmarks
- Collaborate with cross-functional teams to develop quantum-resistant cryptographic protocols
- Publish findings in top-tier journals and present at international quantum conferences
- Optimize quantum circuit performance using advanced error correction techniques
- Mentor junior researchers and contribute to quantum education initiatives
- Secure research partnerships with leading academic institutions and quantum hardware providers
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of quantum algorithms, quantum gates, and quantum error correction
- Publication record in quantum computing or quantum information theory
- Expertise in at least one classical programming language (Python, C++, Julia)
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Strong analytical skills with ability to tackle complex mathematical problems
- Proven ability to translate theoretical concepts into practical implementations