Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries by 2026. Our multidisciplinary team operates at the intersection of physics, machine learning, and software engineering in state-of-the-art facilities. This role offers unparalleled opportunities to shape the future of computational science while collaborating with Nobel laureates and industry pioneers. We provide competitive compensation, flexible work arrangements, and cutting-edge resources to accelerate your research impact.
Responsibilities
- Design and implement novel quantum machine learning models for complex problem-solving
- Develop hybrid quantum-classical algorithms for optimization and simulation challenges
- Lead cross-functional research projects in quantum cryptography and AI safety
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum circuit implementations
- Mentor junior researchers and contribute to quantum AI curriculum development
- Secure research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong publication record in quantum information science or AI research
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)