Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We seek visionary researchers to develop next-gen algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications. Collaborate with Nobel laureates and industry pioneers in an environment where innovation thrives. We offer competitive equity packages, flexible work arrangements, and comprehensive benefits including cutting-edge wellness programs.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Publish research in top-tier journals and present findings at global tech conferences
- Secure federal grants and private funding for advanced quantum-AI projects
- Mentor junior researchers and contribute to patent development
- Collaborate with hardware engineers to optimize quantum system performance
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
- Published research in quantum algorithms or AI optimization
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum entanglement and decoherence mitigation
- Strong track record of securing research funding
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)