Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that merge quantum computing with artificial intelligence, creating breakthroughs in drug discovery, climate modeling, and computational finance. Our Austin hub offers state-of-the-art labs, collaborative innovation spaces, and unparalleled resources to accelerate your research vision. This role includes competitive equity, flexible work arrangements, and access to exclusive industry conferences shaping 2026's tech landscape.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world applications
- Lead cross-functional R&D projects with Nobel Prize-winning physicists and AI pioneers
- Develop novel error-correction methods for quantum neural networks
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with government agencies on national quantum security initiatives
- Mentor PhD researchers in quantum machine learning methodologies
- Secure $5M+ in research grants for frontier quantum-AI experiments
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (2020-2026 graduates encouraged)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in Nature/Science or top-tier ML conferences (NeurIPS, ICML)
- Expertise in tensor networks and quantum machine learning algorithms
- Proficiency in high-performance computing (HPC) and GPU acceleration
- Track record of securing competitive research grants or patents
- Deep understanding of quantum error correction and fault-tolerant systems