Job Description
Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence for 2026 and beyond. As a Quantum AI Research Engineer, you'll architect next-generation solutions that redefine computational boundaries. Our interdisciplinary team operates at the intersection of physics, machine learning, and software engineering to solve humanity's most complex challenges.
We offer a collaborative environment with cutting-edge resources, flexible work arrangements, and competitive equity packages. Your work will directly impact breakthroughs in drug discovery, climate modeling, and cryptography.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for real-world optimization problems
- Develop fault-tolerant quantum machine learning models leveraging 2026-era hardware capabilities
- Lead research initiatives in quantum neural networks and quantum-enhanced reinforcement learning
- Create simulation frameworks for quantum-AI hybrid systems at scale
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish breakthrough research in leading quantum computing and AI conferences
- Secure research grants and patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane) and Python
- Proven track record in machine learning research (TensorFlow/PyTorch proficiency)
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and information theory
- Publication record in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)