Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to pioneer next-generation computational paradigms that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop hybrid quantum-neural systems capable of solving previously unsolvable problems.
Our state-of-the-art lab in San Francisco offers unparalleled resources, including 512-qubit processors and petascale AI accelerators. You'll contribute to breakthrough projects in cryptography, drug discovery, and climate modeling while shaping the future of human-machine symbiosis.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for real-world optimization problems
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Pioneer novel quantum machine learning frameworks for predictive analytics
- Collaborate with hardware teams to co-design quantum processors with AI acceleration
- Publish peer-reviewed research in top-tier journals and present at global tech summits
- Mentor junior researchers in quantum computing best practices
- Drive ethical AI standards for quantum-human integration
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent industry experience)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum assembly
- Published research in quantum information science or AI
- Experience with NISQ-era hardware constraints and error mitigation
- Strong background in linear algebra, probability theory, and computational complexity
- Track record of deploying production-level quantum algorithms
- Passion for ethical AI development and human-centered technology