Job Description
Shape the future by pioneering quantum-AI hybrid systems at Nexus Futuristics. We're seeking visionary researchers to develop next-generation computational frameworks that will revolutionize industries by 2026. Join our interdisciplinary team in state-of-the-art labs where theoretical physics meets machine learning innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional prototyping of quantum-AI hybrid computing architectures
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with industry partners to translate theoretical models into commercial applications
- Mentor junior researchers in quantum computing methodologies
- Secure federal and private research funding through competitive proposals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Publication record in quantum machine learning or related fields
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to secure research grants or patents
- Strong background in linear algebra, probability theory, and quantum information theory