Job Description
Shape the future of artificial intelligence at Nexus Future Technologies. We're pioneering quantum-AI integration to solve humanity's most complex challenges by 2026. Join our elite research team in San Francisco where cutting-edge science meets transformative innovation. Enjoy unparalleled resources, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with MIT and Stanford.
Responsibilities
- Design quantum algorithms for machine learning optimization
- Lead cross-functional teams in developing hybrid quantum-classical AI systems
- Prototype and validate quantum neural network architectures
- Collaborate with hardware teams to co-design quantum processors
- Publish high-impact research in top-tier journals and conferences
- Secure $10M+ in government/private research funding
- Mentor PhD candidates in quantum computing principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in Nature/Science or equivalent journals
- Expertise in tensor networks and quantum error correction
- Proficiency in Python, TensorFlow, and PyTorch
- Strong background in high-performance computing environments
- Demonstrated ability to secure research grants
- Experience mentoring graduate-level researchers