Job Description
Join Nexus Labs 2026 at the forefront of technological evolution as we pioneer quantum-AI hybrid systems that will redefine computing by 2026. We're seeking visionary researchers to develop next-generation algorithms that bridge quantum mechanics and artificial intelligence. Our Austin innovation hub offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into practical applications.
As a key member of our elite research division, you'll work with Nobel laureates, quantum hardware pioneers, and AI architects in a culture that values bold experimentation and intellectual curiosity. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational optimization problems
- Lead cross-functional research initiatives in quantum machine learning and neural networks
- Develop novel error-correction protocols for quantum-AI systems
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to prototype quantum-AI accelerators
- Secure $2M+ in research grants and patents
- Mentor junior researchers in emerging quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years experience with quantum algorithms and quantum circuit design
- Proficiency in Python, Qiskit, and TensorFlow/PyTorch frameworks
- Published research in quantum-AI integration or high-impact journals
- Demonstrated ability to secure research funding or patents
- Expertise in quantum error correction and fault-tolerant computing
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)