Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries for 2026 and beyond. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, working on projects that could solve humanity's most complex challenges—from climate modeling to personalized medicine.
Responsibilities
- Design and implement quantum machine learning models leveraging advanced qubit architectures
- Lead cross-functional teams in developing novel quantum neural networks
- Optimize quantum algorithms for real-world deployment on next-gen hardware
- Publish breakthrough research in top-tier journals and conferences
- Secure $2M+ in research grants from NSF and DARPA
- Mentor PhD candidates and postdocs in quantum computing methodologies
- Collaborate with product teams to translate research into commercial applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Published research in Nature/Science or equivalent tier journals
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Proficiency in Python, TensorFlow, and PyTorch
- Demonstrated success in quantum algorithm optimization
- Experience with superconducting qubit systems and error correction
- Strong background in machine learning and statistical modeling
- Track record of securing competitive research funding