Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Researcher to develop breakthrough algorithms that will redefine computational boundaries. Our cross-disciplinary team operates at the intersection of quantum mechanics, artificial intelligence, and predictive analytics to solve humanity's most complex challenges. This role offers unparalleled opportunities to publish cutting-edge research, collaborate with Nobel laureates, and shape the future of quantum machine learning.
Our state-of-the-art facility in San Francisco provides access to quantum computing infrastructure, advanced neural networks, and real-world deployment environments. We offer competitive equity packages, flexible work arrangements, and continuous learning stipends for professional development. Be part of the revolution that's transforming industries from healthcare to climate modeling.
Responsibilities
- Design and implement quantum algorithms for AI optimization and predictive modeling
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop scalable frameworks for quantum-enhanced machine learning applications
- Collaborate with hardware teams to optimize quantum circuit performance
- Author peer-reviewed publications and patents in quantum computing
- Mentor junior researchers and foster cross-functional innovation
- Translate theoretical models into practical industry solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and error correction
- Proficiency with quantum frameworks (Qiskit, Cirq, PennyLane) and high-performance computing
- Published record in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability, and computational complexity
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to lead technical projects and secure research funding