Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems that will redefine 2026's digital landscape. We're seeking visionary researchers to develop next-generation algorithms that merge quantum computing with artificial intelligence for breakthrough applications in cryptography, drug discovery, and climate modeling.
Our Austin-based innovation hub offers unparalleled resources including quantum hardware access, AI supercomputing clusters, and cross-disciplinary collaboration with MIT and Stanford partners. This role directly influences projects shaping humanity's technological trajectory.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex optimization problems
- Lead research on quantum neural networks and machine learning acceleration
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough findings in top-tier journals and conferences
- Develop patentable solutions for real-world industry challenges
- Mentor junior researchers and foster cross-functional innovation
- Secure external funding through NSF and DoE grant applications
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years in quantum algorithm development or AI research
- Proficiency with Qiskit, Cirq, or similar quantum programming frameworks
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Experience with AWS Braket or Azure Quantum cloud platforms
- Demonstrated ability to translate theoretical research into practical applications