Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough innovations in quantum machine learning and autonomous systems.
Responsibilities
- Design and implement quantum algorithms for AI optimization
- Lead research on fault-tolerant quantum computing architectures
- Collaborate with cross-functional teams on AI-quantum integration
- Publish findings in top-tier journals and conferences
- Develop patentable technologies for 2026 deployment
- Mentor junior researchers in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Prior publications in Nature/Science or equivalent
- Deep understanding of quantum error correction
- Strong background in computational complexity theory