Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where cutting-edge research meets real-world application. Our lab offers unparalleled resources, including quantum annealing clusters and neuromorphic computing arrays, to accelerate breakthroughs in autonomous systems and predictive intelligence.
This role represents a rare opportunity to shape humanity's technological trajectory while working in a culture that values intellectual curiosity and bold experimentation. We provide competitive equity packages, flexible R&D budgets, and dedicated time for personal innovation projects.
Responsibilities
- Design and implement quantum machine learning models for complex system optimization
- Lead research initiatives in hybrid quantum-classical computing architectures
- Develop predictive AI frameworks for 2026-era autonomous infrastructure
- Publish breakthrough findings in top-tier journals and industry conferences
- Mentor cross-disciplinary teams of engineers and researchers
- Secure government and private sector R&D funding
- Collaborate with futurists to map technological evolution pathways
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years hands-on experience with quantum annealing or ion-trap systems
- Expertise in Python, Qiskit, and TensorFlow Quantum frameworks
- Published research in Nature/Science or equivalent tier journals
- Deep understanding of quantum error correction protocols
- Proven track record of securing $500K+ research grants
- Experience with neuromorphic computing hardware
- Strong background in theoretical physics and information theory