Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum computing with machine learning. Our Austin campus features state-of-the-art labs and collaborative innovation spaces where your expertise will directly impact breakthrough applications in cryptography, material science, and autonomous systems. We offer competitive equity packages, flexible hybrid work, and continuous learning stipends to accelerate your career trajectory.
Responsibilities
- Design and implement quantum machine learning algorithms for practical industry applications
- Collaborate with cross-functional teams to develop quantum-AI integration frameworks
- Lead experimental validation of quantum computing protocols on superconducting qubit systems
- Author peer-reviewed research publications and present findings at international conferences
- Optimize quantum circuit architectures for error correction and scalability
- Mentor junior researchers in quantum computing best practices and methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with 5+ years experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical-quantum hybrid systems
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong publication record in quantum information science or AI research
- Deep understanding of quantum error correction and fault-tolerant architectures
- Ability to translate complex quantum concepts into actionable engineering solutions