Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms and collaborate with Nobel laureates in our state-of-the-art Austin lab. Your work will directly impact breakthroughs in drug discovery, climate modeling, and autonomous systems. We offer competitive equity packages, unlimited learning stipends, and a culture where your radical ideas become reality. Shape the future with us.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional R&D teams in developing quantum-optimized neural networks
- Author breakthrough research papers for Nature/Science journals and premier AI conferences
- Translate theoretical quantum models into scalable production-grade systems
- Collaborate with hardware teams to co-design quantum-AI hybrid architectures
- Secure $5M+ in federal and industry research grants for frontier projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or top-tier AI conferences (NeurIPS, ICML)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing frameworks
- Deep understanding of quantum error correction and fault-tolerant systems
- Proven track record of leading complex R&D projects from concept to deployment
- Strong background in physics, mathematics, and algorithmic optimization