Job Description
Join Nexus Innovations Inc. at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to architect next-gen quantum algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum processors, optimize quantum error correction protocols, and create hybrid quantum-classical frameworks for real-world applications in cryptography, materials science, and AI optimization. Your work will directly shape the quantum infrastructure that powers the next decade of innovation.
We offer unparalleled resources including access to our 512-qubit quantum annealer, dedicated lab spaces, and partnerships with leading quantum research institutions. This position includes competitive equity packages, flexible hybrid work arrangements, and opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop quantum error correction techniques and fault-tolerant architectures for scalable quantum processors
- Collaborate with hardware teams to translate theoretical models into practical quantum computing solutions
- Lead research initiatives in quantum machine learning and quantum-enhanced AI systems
- Author peer-reviewed publications and present findings at international quantum computing conferences
- Mentor junior researchers and contribute to quantum computing education initiatives
- Stay current with emerging quantum technologies and regulatory frameworks
Qualifications
- PhD in Physics, Computer Science, or related quantum computing field with 3+ years post-doctoral experience
- Expertise in quantum algorithms, quantum information theory, and quantum circuit design
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and classical simulation tools
- Strong background in machine learning, linear algebra, and high-performance computing
- Publication record in quantum computing research (arXiv, Nature, Science, etc.)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ, etc.)
- Demonstrated ability to secure research funding and lead cross-functional technical teams