Job Description
Join NexusLabs at the forefront of quantum-AI convergence to shape the technological landscape of 2026. We're pioneering hybrid quantum-neural systems that will redefine computational paradigms. As a key member of our Future Technologies Division, you'll develop groundbreaking algorithms at the intersection of quantum mechanics and artificial intelligence. Our Austin hub offers a state-of-the-art laboratory environment with access to D-Wave quantum processors and NVIDIA's latest GPU clusters. We provide competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends for conferences like Q2B and NeurIPS.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping hybrid quantum-classical architectures
- Collaborate with hardware teams to optimize quantum circuit performance
- Develop ethical frameworks for next-gen AI-quantum systems
- Secure patents for novel quantum-AI methodologies
- Present research findings at leading conferences (Nature Quantum, ICML)
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years hands-on quantum programming (Qiskit, Cirq, or PennyLane)
- Published research in top-tier journals (Nature, Science, IEEE)
- Expertise in tensor networks and quantum error correction
- Strong Python/C++ skills with HPC optimization experience
- Proven track record of translating theory into practical implementations