Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026. We're seeking a visionary Quantum AI Research Engineer to develop next-generation algorithms that bridge quantum computing and artificial intelligence. You'll collaborate with Nobel laureates and industry disruptors in our Austin-based research hub, leveraging state-of-the-art infrastructure to solve humanity's most complex challenges.
Why Nexus Future Labs?
- Unprecedented R&D budget ($500M+ allocated for 2026 initiatives)
- Patent ownership program for breakthrough innovations
- Flexible hybrid work with Austin's premier tech ecosystem
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks with 99.9% fidelity
- Lead cross-functional teams in prototyping quantum-AI solutions
- Secure research grants and publish in Nature/Science journals
- Mentor junior researchers in quantum computing principles
- Collaborate with hardware teams to optimize quantum processor utilization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of quantum algorithm development using Qiskit/Cirq
- Published research in quantum machine learning or quantum information
- Expertise in Python, TensorFlow/PyTorch, and quantum circuit design
- Strong background in linear algebra, probability, and information theory
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)