Job Description
Shape the technological landscape of 2026 at Nexus Future Labs! We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that merge quantum computing with machine learning, transforming industries from healthcare to climate modeling. Join our interdisciplinary team of visionaries in Austin's thriving tech ecosystem, where cutting-edge research meets real-world impact.
Responsibilities
- Design and implement quantum machine learning models for 2026-era computational challenges
- Lead cross-functional projects integrating quantum processors with neural networks
- Develop novel error-correction protocols for quantum-AI hybrid systems
- Publish breakthrough research in top-tier scientific journals
- Collaborate with hardware teams to optimize quantum-AI co-design
- Mentor junior researchers and drive innovation roadmap development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (PyTorch/TensorFlow) and algorithm optimization
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, probability, and quantum mechanics
- Proven ability to translate theoretical concepts into practical implementations