Job Description
Join Nexus Labs at the frontier of technological evolution as we pioneer the next generation of quantum-AI integration. Our Austin-based R&D hub is seeking visionary researchers to develop breakthrough applications in quantum machine learning, computational neuroscience, and autonomous systems. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets practical AI implementation. Shape the technological landscape of 2026 and beyond.
Responsibilities
- Design and implement quantum algorithms for neural network optimization
- Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
- Research quantum-resistant cryptography for next-gen security protocols
- Develop predictive models for complex adaptive systems using quantum computing
- Author peer-reviewed publications and whitepapers on quantum-AI convergence
- Secure research grants and partnerships with quantum hardware providers
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and quantum circuit simulation tools
- Strong background in linear algebra, probability theory, and algorithm design