Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for the 2026 horizon. We seek a visionary Research Scientist to architect next-generation systems that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum machine learning frameworks, pushing the boundaries of what's possible in artificial intelligence and quantum computing.
Our state-of-the-art facility in San Francisco's innovation district offers unparalleled resources, including a 500-qubit quantum processor and exascale AI clusters. You'll lead cross-functional teams to prototype solutions for climate modeling, personalized medicine, and autonomous systems, with direct access to $50M in annual R&D funding.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era applications
- Lead research in quantum-AI hybrid algorithms achieving exponential speedups
- Develop fault-tolerant quantum error correction protocols for large-scale systems
- Collaborate with hardware teams to optimize quantum-AI co-design workflows
- Publish breakthrough research in top-tier journals and conference proceedings
- Mentor junior researchers and drive technical excellence across quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 5+ years experience in quantum algorithm development or advanced AI research
- Proficiency with quantum programming languages (Qiskit, Cirq) and ML frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or high-impact AI domains
- Expertise in quantum error correction and fault-tolerant computing
- Strong background in parallel computing architectures and high-performance systems
- Track record of translating theoretical research into practical implementations