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 seek a visionary Quantum Computing Engineer to architect and deploy next-generation quantum algorithms that solve today's unsolvable challenges. You'll collaborate with Nobel laureates and AI pioneers in a state-of-the-art facility where quantum physics meets practical application.
About the Role: This senior position demands expertise in quantum mechanics, machine learning, and high-performance computing. You'll develop quantum error correction protocols, optimize quantum circuits, and lead research initiatives that will power our 2026 commercial quantum computing platform. The ideal candidate thrives at the intersection of theoretical physics and scalable engineering.
Why Nexus Future Labs? We offer equity in a pre-IPO quantum unicorn, unlimited learning stipends, and the opportunity to shape humanity's technological future. Our benefits include on-site cryogenic labs, flexible remote work options, and exclusive access to our annual Quantum Vision Summit.
Responsibilities
- Design and implement quantum algorithms for optimization, cryptography, and simulation problems
- Develop quantum error correction systems to achieve fault-tolerant quantum computation
- Collaborate with cross-functional teams to integrate quantum solutions with classical AI systems
- Lead research initiatives in quantum machine learning and hybrid quantum-classical models
- Optimize quantum circuits for performance and scalability on proprietary quantum hardware
- Document quantum protocols and publish findings in leading scientific journals
- Mentor junior quantum engineers and contribute to our 2026 quantum roadmap
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Deep understanding of quantum error correction, decoherence, and fault tolerance
- Strong background in machine learning frameworks (PyTorch, TensorFlow) for quantum applications
- Experience with high-performance computing architectures and parallel programming
- Published research in quantum computing or quantum information theory
- Proven ability to translate complex quantum concepts into engineering solutions