Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary researchers to transform theoretical models into practical applications that will redefine industries by 2026. Our Austin-based innovation hub offers unparalleled resources for groundbreaking work in quantum computing, neural networks, and emergent AI architectures.
As a key member of our Future Systems Division, you'll collaborate with Nobel laureates, industry pioneers, and a multidisciplinary team to develop scalable quantum algorithms and adaptive AI frameworks. This role offers equity, flexible research parameters, and direct impact on projects shaping humanity's technological trajectory.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for next-gen computational systems
- Lead research initiatives in error-corrected quantum machine learning architectures
- Develop adaptive neural networks capable of real-time quantum state manipulation
- Collaborate with hardware teams to optimize quantum-AI interface protocols
- Publish breakthrough research in top-tier journals and industry whitepapers
- Mentor junior researchers in quantum computing methodologies
- Secure patents for novel quantum-AI convergence technologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Advanced AI with 3+ years postdoctoral experience
- Published research in quantum machine learning or quantum neural networks
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proficiency in Python, TensorFlow, and quantum circuit simulation tools
- Demonstrated experience with high-performance computing environments
- Strong background in error correction protocols for quantum systems
- Track record of translating theoretical models into experimental prototypes