Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to architect next-generation algorithms that will redefine computational paradigms. This role offers unparalleled opportunities to work in our state-of-the-art quantum labs and collaborate with Nobel laureates and industry pioneers. You'll contribute to breakthrough projects in quantum machine learning, cryptography, and computational optimization while shaping the technological landscape of 2026 and beyond.
Responsibilities
- Design and implement quantum algorithms for AI applications using Qiskit and TensorFlow Quantum
- Lead R&D initiatives in quantum neural networks and hybrid quantum-classical computing models
- Develop fault-tolerant quantum error correction protocols for large-scale AI systems
- Collaborate with cross-functional teams to integrate quantum solutions into production AI pipelines
- Publish research in top-tier journals and present findings at international conferences
- Mentor junior researchers and drive innovation in quantum machine learning frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (Master's with exceptional experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Proven expertise in machine learning frameworks and high-performance computing
- Strong publication record in quantum information science or AI research
- Deep understanding of quantum algorithms, quantum hardware architectures, and decoherence mitigation
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to lead complex technical projects and drive research innovation