Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum computing and machine learning, transforming industries from healthcare to climate science. Our state-of-the-art San Francisco campus offers unparalleled resources, including a 500-qubit quantum processor and dedicated AI supercomputing clusters. Collaborate with Nobel laureates and disrupt conventional boundaries in this rare opportunity to shape the computational landscape of tomorrow.
Responsibilities
- Develop hybrid quantum-AI models for exponential computational breakthroughs
- Lead research initiatives in quantum neural networks and topological data analysis
- Optimize quantum algorithms for real-world deployment in production environments
- Secure $2M+ in NSF and DARPA grants for 2026-focused projects
- Mentor PhD candidates and publish in Nature/Science journals
- Partner with NASA and CERN on quantum-accelerated simulations
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (2020-2023 graduates)
- Published research in quantum machine learning or topological quantum computing
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Experience with superconducting qubit systems or photonic quantum processors
- Strong track record of open-source contributions to quantum-AI frameworks
- Expertise in error correction for NISQ-era quantum computers
- Ability to translate theoretical models into scalable implementations