Job Description
Join Nexus Innovations at the forefront of technological evolution as our Quantum AI Research Lead 2026. You'll spearhead groundbreaking research at the intersection of quantum computing and artificial intelligence, developing solutions that will redefine industries by 2026. This role offers unparalleled opportunity to shape the future of computational science while working with world-class researchers in Austin's vibrant tech ecosystem.
We're seeking visionary innovators passionate about solving humanity's most complex challenges through quantum machine learning. Your work will directly impact fields from drug discovery to climate modeling, with competitive compensation and resources to accelerate your research vision.
Responsibilities
- Lead cross-functional research teams in developing quantum neural network architectures
- Design and implement hybrid quantum-classical algorithms for 2026-era applications
- Secure $5M+ in research funding through NSF, DARPA, and industry partnerships
- Publish 3+ peer-reviewed papers annually in Nature/Science journals
- Collaborate with MIT and Caltech on quantum supremacy benchmarks
- Develop patentable quantum AI methodologies with commercialization potential
- Mentor PhD researchers in quantum information science
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years experience in quantum algorithm development
- Proven track record publishing in top-tier scientific journals
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Experience securing federal research grants
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Published work on quantum error correction techniques