Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum AI Research Scientist to develop next-generation algorithms that merge quantum computing with artificial intelligence. Shape the future of computational intelligence in our state-of-the-art Austin facility, where you'll collaborate with Nobel laureates and industry disruptors. This role offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams to prototype quantum neural network architectures
- Develop hybrid quantum-classical computing frameworks for enterprise applications
- Author peer-reviewed research publications and contribute to open-source quantum libraries
- Collaborate with hardware teams to optimize quantum circuit implementations
- Identify and solve scalability challenges in quantum AI systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development using Qiskit or Cirq
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability, and computational complexity
- Experience with cloud-based quantum computing platforms (AWS Braket, IBM Quantum)