Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to transform theoretical quantum computing into practical solutions that will redefine industries. Our Austin campus offers state-of-the-art labs and collaborative spaces where breakthrough ideas become reality.
This role requires deep expertise in quantum algorithms and machine learning, with a focus on developing scalable systems for next-gen applications. You'll collaborate with Nobel laureates and work on projects that will shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical computing architectures
- Publish cutting-edge research in top-tier journals and conferences
- Secure federal and private research funding for quantum-AI initiatives
- Develop patentable quantum algorithms for commercial applications
- Mentor junior researchers and contribute to quantum curriculum development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithm design (QAOA, VQE, Shor's algorithm)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum supremacy
- Experience with high-performance computing environments and GPU acceleration
- Demonstrated ability to secure research grants (> $500k)
- Strong background in Python/C++ and cloud platforms (AWS/Azure quantum services)