Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our Austin-based innovation hub is seeking visionary researchers to develop algorithms that will redefine computational boundaries by 2026. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets cutting-edge machine learning. Enjoy unparalleled resources, flexible research timelines, and equity in a company poised to revolutionize industries from healthcare to climate modeling.
Responsibilities
- Design and implement quantum algorithms leveraging AI optimization techniques
- Lead cross-functional teams in prototyping quantum neural networks
- Develop error-correction protocols for fault-tolerant quantum computing
- Publish breakthrough research in top-tier journals and industry conferences
- Secure federal grants and private partnerships for 2026 quantum initiatives
- Mentor PhD candidates in quantum-AI integration methodologies
- Collaborate with hardware teams to co-design quantum-AI accelerator systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Expertise in quantum machine learning and tensor network simulations
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
- Published work in quantum error correction or variational quantum algorithms
- Deep understanding of quantum hardware constraints and qubit architectures
- Experience with high-performance computing clusters and GPU acceleration
- Strong track record of securing research funding or industry partnerships
- Passion for solving 2026-era computational challenges