Job Description
Join Nexus Futura Labs at the forefront of technological evolution as we pioneer the next wave of quantum-entangled AI systems. Our Austin-based R&D hub is assembling visionary researchers to develop autonomous quantum neural networks capable of solving previously impossible computational challenges. This role offers unparalleled access to our $500M quantum computing infrastructure and collaboration with Nobel laureate advisors. We provide relocation assistance, equity grants, and a flexible hybrid work environment designed for maximum innovation.
What You'll Achieve: Design and implement quantum machine learning algorithms that will redefine industries by 2026. Lead breakthrough research in quantum-entangled neural networks while publishing in top-tier journals and filing foundational patents.
Responsibilities
- Develop quantum-entangled AI architectures for next-gen autonomous systems
- Lead research initiatives in quantum machine learning and neural networks
- Collaborate with hardware teams to optimize quantum-classical hybrid systems
- Publish peer-reviewed research and present at international conferences
- Secure government and industry grants for quantum AI projects
- Mentor junior researchers and establish quantum AI protocols
- Develop patent-pending quantum algorithms for commercial applications
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Published research in Nature/Science or top-tier ML conferences
- Expertise in TensorFlow/PyTorch with quantum integration frameworks
- Strong background in quantum error correction and fault tolerance
- Experience securing $500K+ research grants
- Deep understanding of quantum entanglement in neural networks