Job Description
Join Nexus Futuristics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine global infrastructure. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms in our Austin R&D hub, collaborating with Nobel laureates and industry disruptors. Our lab operates at the intersection of quantum computing, neuromorphic engineering, and autonomous systems. We offer equity, flexible R&D budgets, and access to bleeding-edge hardware including quantum processors and neuromorphic chips. This is your chance to solve humanity's grandest challenges while shaping tomorrow's technological landscape.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional R&D projects in quantum-AI hybrid systems
- Develop novel neural architectures optimized for quantum computational models
- Collaborate with hardware teams to co-design quantum processors
- Author peer-reviewed publications and patentable innovations
- Mentor junior researchers in emerging quantum programming paradigms
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years postdoc experience
- Published research in Nature/Science journals on quantum algorithms
- Proficiency in Qiskit, Cirq, and quantum machine learning frameworks
- Expertise in neuromorphic computing and spiking neural networks
- Demonstrated ability to secure $500K+ in research grants
- Experience with quantum error correction and fault-tolerant systems
- Strong Python/C++ programming with HPC optimization skills