Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum computing solutions. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking algorithms and systems that will redefine computational possibilities by 2026. Our interdisciplinary team operates at the intersection of physics, computer science, and AI, pushing the boundaries of what's achievable in quantum supremacy, error correction, and practical quantum applications.
As a key innovator in our Quantum Research Division, you'll collaborate with world-class physicists and engineers to design, implement, and optimize quantum algorithms. You'll leverage state-of-the-art hardware from our partners at IBM, Google, and Rigetti while contributing to open-source quantum frameworks. This role offers unparalleled opportunities to publish high-impact research and shape the future of quantum computing technology.
Responsibilities
- Design and develop novel quantum algorithms for optimization, cryptography, and machine learning applications
- Conduct rigorous quantum simulations and error mitigation protocols on hybrid quantum-classical systems
- Lead experimental validation of quantum circuits using superconducting and photonic platforms
- Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
- Author peer-reviewed publications and present findings at premier quantum computing conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Stay current with emerging quantum hardware capabilities and software frameworks
Qualifications
- PhD in Physics, Computer Science, or related field with 3+ years of quantum computing research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Demonstrated expertise in quantum error correction and fault-tolerant architectures
- Strong publication record in quantum computing or closely related fields
- Experience with quantum hardware platforms (superconducting qubits, trapped ions, or photonic systems)
- Expertise in machine learning and classical-quantum hybrid algorithms
- Ability to translate theoretical concepts into practical implementations
- Excellent communication skills for technical and non-technical audiences