Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence solutions. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our Austin campus offers state-of-the-art facilities and unparalleled collaboration opportunities with Nobel laureates and industry disruptors. This role includes competitive equity packages and flexible work arrangements for top-tier talent.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-era applications
- Lead cross-functional R&D teams in prototyping breakthrough technologies
- Publish peer-reviewed research in top-tier journals/conferences
- Develop scalable solutions for real-world industry challenges
- Collaborate with hardware engineering teams to optimize quantum system performance
- Secure federal and private research grants for 2026 technology roadmap
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years experience with quantum circuit design and AI model optimization
- Publication record in Nature/Science or equivalent tier journals
- Expertise in Python, TensorFlow, and quantum frameworks (Qiskit/Cirq)
- Strong background in topological quantum computing or error correction
- Proven track record of securing research funding ($500K+)