Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI convergence. We're pioneering hybrid quantum-neural systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum mechanics with deep learning, solving previously unsolvable problems in cryptography, drug discovery, and climate modeling. Our Austin campus features state-of-the-art quantum hardware and a collaborative innovation culture where your breakthroughs could shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum algorithms integrated with neural networks for exponential computational gains
- Lead cross-functional teams in prototyping quantum-AI hybrid systems using Qiskit and TensorFlow Quantum
- Develop error-correction protocols for practical quantum neural networks
- Author peer-reviewed research on quantum machine learning applications
- Collaborate with hardware teams to optimize quantum-neural interfaces
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
- 3+ years experience in quantum machine learning or quantum algorithms
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum-AI convergence or top-tier ML conferences
- Expertise in Python, TensorFlow, and high-performance computing
- Strong background in linear algebra, probability, and information theory