Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Engineer to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. This is your chance to shape tomorrow's digital landscape in a state-of-the-art facility where innovation meets execution.
Our Austin-based R&D hub offers unparalleled resources for pushing computational boundaries. You'll collaborate with Nobel laureates and industry pioneers to develop next-gen quantum algorithms that will redefine industries from healthcare to climate science. We provide competitive equity packages, flexible hybrid work arrangements, and access to cutting-edge quantum hardware.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical computing frameworks for enterprise-scale applications
- Lead experimental validation of quantum AI protocols on superconducting qubit systems
- Collaborate with cross-functional teams to integrate quantum solutions into production environments
- Publish groundbreaking research in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to our open-source quantum AI toolkit
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and quantum error correction
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane) and Python
- Strong background in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Track record of publishing peer-reviewed research or developing production-level quantum systems
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex quantum concepts into practical business solutions