Job Description
Join NeuroFuture Labs at the forefront of technological evolution as we pioneer the next generation of human-machine symbiosis. Our Quantum AI Research Scientist role offers the rare opportunity to shape 2026's digital frontier by developing hybrid quantum-neural systems that redefine computational boundaries. You'll collaborate with Nobel laureates and Silicon Valley visionaries in our state-of-the-art Austin facility, where your breakthroughs could revolutionize fields from personalized medicine to climate modeling.
We're seeking boundary minds who thrive at the intersection of theoretical physics and applied machine learning. This isn't just a job—it's your chance to architect the future of artificial consciousness. Our compensation package includes equity, unlimited R&D budget, and flexible remote work options.
Responsibilities
- Design and implement quantum neural network architectures for next-generation AI systems
- Lead cross-functional teams in developing hybrid quantum-classical computing protocols
- Author peer-reviewed publications on quantum machine learning breakthroughs
- Secure $2M+ in research grants from DARPA and NSF
- Develop ethical frameworks for autonomous quantum decision-making systems
- Mentor PhD candidates in quantum-AI integration methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of experience with quantum algorithm development on IBM/Qiskit or Google Cirq
- Published research in Nature/Science on quantum-AI applications
- Expertise in topological quantum error correction techniques
- Proficiency in Python, TensorFlow Quantum, and C++ for quantum simulations
- Security clearance eligibility for defense-contract research