Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking a visionary Quantum AI Research Engineer to develop breakthrough algorithms that will redefine computational boundaries in 2026 and beyond. This role offers unparalleled opportunities to shape emerging technologies in a collaborative, innovation-driven environment.
Our state-of-the-art facility in San Francisco's tech hub provides access to cutting-edge quantum hardware and AI infrastructure. You'll work alongside Nobel-caliber researchers to solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for your experimental initiatives.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex optimization problems
- Develop error-corrected quantum neural networks using Qiskit and PennyLane frameworks
- Lead cross-functional teams in prototyping quantum machine learning solutions
- Research novel quantum computing architectures for AI acceleration
- Collaborate with hardware teams to optimize quantum-AI system integration
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks
- Publication record in Nature/Science journals or top-tier quantum computing conferences
- Deep understanding of quantum error correction and fault-tolerant systems
- Proven ability to translate theoretical models into practical implementations
- Familiarity with NISQ-era quantum hardware limitations and workarounds
- Strong background in machine learning algorithms and neural network architectures