Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the 2026 Quantum-AI convergence initiative. We're seeking visionary researchers to develop next-generation quantum machine learning algorithms that will redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into real-world solutions.
As part of our elite 2026 cohort, you'll work with Nobel Prize-winning advisors and deploy cutting-edge quantum hardware to solve previously impossible challenges in cryptography, optimization, and neural network acceleration. This isn't just a job—it's your chance to shape the technological landscape of the next decade.
Responsibilities
- Design and implement quantum-classical hybrid algorithms for machine learning applications
- Lead experimental validation of quantum neural networks on proprietary hardware
- Collaborate with international research teams to publish breakthrough findings
- Develop patentable methodologies for quantum error correction in AI systems
- Mentor junior researchers in quantum computing principles
- Present findings at premier conferences (NeurIPS, QIP)
- Contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Proficiency in Python, Qiskit, and quantum circuit optimization
- Publication record in top-tier AI/quantum journals
- Deep understanding of tensor networks and quantum entanglement
- Experience with superconducting or photonic quantum processors
- Demonstrated ability to translate complex theory into executable code