Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer solutions for 2026 and beyond. Our Quantum AI division is developing next-generation algorithms that will redefine computational boundaries. You'll lead groundbreaking research in quantum machine learning and AI optimization, collaborating with Nobel laureates and industry pioneers in our state-of-the-art Austin facility. We offer competitive equity packages, unlimited learning stipends, and a flexible hybrid work model designed for maximum innovation.
Responsibilities
- Design and implement quantum algorithms for AI optimization at scale
- Lead cross-functional teams in prototyping 2026-era computational systems
- Develop novel neural network architectures leveraging quantum entanglement
- Publish breakthrough research in top-tier journals and conferences
- Secure $2M+ in government and private research grants
- Mentor PhD candidates in quantum machine learning
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
Qualifications
- PhD in Quantum Computing, AI, or related field (post-doc preferred)
- 5+ years experience with quantum programming (Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Expertise in tensor networks and quantum error correction
- Proficiency in Python, TensorFlow, and PyTorch
- Experience securing federal research grants (NSF, DARPA)
- Strong background in theoretical computer science and complexity theory