Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. This role offers an unparalleled opportunity to shape 2026's digital landscape by developing groundbreaking solutions that redefine computational boundaries. We're seeking visionary researchers to collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.
Our team operates at the intersection of quantum computing, machine learning, and predictive analytics, creating systems that will power the next generation of autonomous infrastructure. This position includes competitive equity packages, unlimited learning stipends, and direct impact on projects valued at $2B+.
Responsibilities
- Lead quantum-AI algorithm development for 2026-era computational systems
- Design and implement hybrid quantum-classical neural networks
- Pioneer predictive modeling for emergent technology adoption curves
- Collaborate with international research teams on patentable innovations
- Develop ethical frameworks for next-gen AI deployment
- Present findings at premier industry conferences and publish in top-tier journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years hands-on experience with quantum annealing systems
- Published research in Nature/Science or equivalent tier journals
- Expertise in Python, Qiskit, and TensorFlow Quantum
- Deep understanding of quantum error correction methodologies
- Proven track record of translating theoretical research into commercial applications
- Security clearance eligibility preferred