Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen computational frameworks that redefine machine learning paradigms. Our state-of-the-art facilities in San Francisco's Tech District foster groundbreaking innovation with unparalleled resources and collaborative freedom.
This role offers the rare opportunity to shape the future of AI while working with Nobel laureates and Turing Award winners. We provide competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for your breakthrough projects. Your work will directly impact fields from climate modeling to personalized medicine.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Lead cross-functional teams in developing hybrid quantum-classical machine learning pipelines
- Optimize quantum algorithms for real-time data processing at petabyte scale
- Publish groundbreaking research in top-tier journals and industry conferences
- Secure $5M+ in government/private research grants for emerging tech initiatives
- Mentor PhD candidates and postdocs in quantum-AI methodologies
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of hands-on quantum algorithm development with IBM Q or similar platforms
- Published research in Nature/Science or equivalent tier journals
- Expertise in Python, TensorFlow, and quantum programming frameworks (Qiskit, Cirq)
- Proven track record of securing federal SBIR/STTR grants
- Deep understanding of tensor networks and quantum error correction
- Experience with distributed computing at exascale levels