Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that leverage quantum supremacy to solve previously unsolvable challenges in healthcare, climate modeling, and cryptography. Our Austin campus features cutting-edge labs and collaborative spaces where interdisciplinary teams accelerate breakthrough innovations.
We offer competitive equity packages, flexible work arrangements, and access to exclusive industry conferences. Shape the future of human-machine intelligence while working with world-renowned physicists and AI pioneers.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop error-correction protocols for quantum neural networks
- Collaborate on quantum-resistant cryptography systems
- Optimize AI models for quantum hardware constraints
- Lead research on quantum-inspired classical algorithms
- Publish findings in top-tier journals and conferences
- Mentor junior researchers in emerging quantum-AI paradigms
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in transformer architectures and deep learning optimization
- Published research in quantum machine learning or AI
- Proficiency in Python, TensorFlow, and high-performance computing
- Experience with quantum error mitigation techniques
- Strong background in linear algebra and quantum mechanics