Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect next-gen computational frameworks that will redefine machine learning and cryptography. Our multidisciplinary team operates at the intersection of quantum computing, artificial intelligence, and biotechnology in a state-of-the-art facility overlooking the Bay Area skyline.
As a key innovator, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum algorithms that solve previously impossible problems. This role offers unparalleled opportunities to publish breakthrough research in top-tier journals and contribute to patent portfolios that will shape the next decade of technological advancement.
Responsibilities
- Design and implement quantum machine learning algorithms for large-scale data processing
- Develop hybrid quantum-classical computing architectures for real-time AI training
- Lead cross-functional teams in prototyping quantum neural networks
- Optimize quantum error correction protocols for practical deployment
- Collaborate with hardware engineers to translate algorithms into quantum circuit designs
- Author research papers and patent applications for quantum-AI innovations
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Publication record in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing frameworks
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and error mitigation
- Experience with cloud-based quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and statistical mechanics