Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026 and beyond. We seek visionary researchers to transform theoretical breakthroughs into practical applications that will redefine humanity's digital future. Our Austin hub combines cutting-edge lab facilities with a culture of radical innovation, offering unparalleled resources to accelerate your research ambitions.
This role offers competitive equity packages, flexible hybrid work arrangements, and collaboration with Nobel laureates. You'll contribute to projects with potential global impact while shaping the next generation of computational paradigms.
Responsibilities
- Lead quantum machine learning algorithm development for next-gen neural networks
- Design and implement hybrid quantum-classical computing architectures
- Collaborate with cross-functional teams to commercialize research breakthroughs
- Publish findings in top-tier journals and present at global tech symposiums
- Mentor junior researchers and contribute to patent development
- Secure federal and private research funding through grant proposals
Qualifications
- PhD in Quantum Computing, AI, or related computational field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
- Published research in quantum machine learning or similar domain
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction protocols
- Strong background in complex system simulation and modeling
- Track record of translating research into scalable solutions