Job Description
Shape the future of technology at Nexus Innovations, where we're pioneering quantum-AI hybrid systems for 2026 and beyond. Join our elite research team in developing next-generation algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research, with competitive compensation and visionary leadership.
We seek passionate innovators who thrive at the intersection of quantum mechanics and machine learning. This role offers unparalleled opportunity to publish groundbreaking research and influence the trajectory of emerging technologies.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational acceleration
- Lead experimental validation of quantum machine learning models on real-world datasets
- Collaborate with hardware engineers to optimize quantum circuit implementations
- Publish peer-reviewed research in top-tier AI/quantum journals
- Develop scalable frameworks for quantum-enhanced neural networks
- Mentor junior researchers and contribute to technical roadmaps
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq)
- Expertise in advanced ML frameworks (TensorFlow Quantum, PyTorch)
- Publication record in top-tier scientific venues
- Deep understanding of quantum error correction techniques
- Proficiency in high-performance computing environments
- Strong background in linear algebra and quantum information theory