Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to architect next-generation computational paradigms that will redefine industries. In this role, you'll lead breakthrough research at our Austin Innovation Hub, collaborating with Nobel laureates and industry disruptors to develop scalable quantum neural networks. Your work will directly influence our 2026 roadmap for autonomous systems, climate modeling, and personalized medicine.
Positioned in Austin's thriving tech ecosystem, you'll access unparalleled resources including our 256-qubit quantum annealing cluster and exascale AI infrastructure. This is more than a role—it's your opportunity to shape the technological fabric of tomorrow.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for complex optimization problems
- Lead research initiatives in quantum machine learning and neuromorphic computing
- Develop fault-tolerant quantum error correction protocols for real-world applications
- Create predictive models for 2026 technology adoption curves and market disruptions
- Collaborate with hardware teams to co-design quantum-AI accelerator architectures
- Publish breakthrough research in top-tier journals and present at global conferences
- Mentor cross-functional teams on quantum computational principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of experience with quantum circuit design and quantum machine learning frameworks
- Expertise in Python, Qiskit, Cirq, and high-performance computing environments
- Publication record in Nature/Science or equivalent top-tier journals
- Deep understanding of quantum decoherence and error mitigation strategies
- Experience with distributed quantum computing systems and cloud quantum platforms
- Proven ability to translate theoretical concepts into practical implementations
- Strong background in tensor networks and quantum neural network architectures