Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that bridge quantum computing and artificial intelligence, creating breakthroughs in drug discovery, climate modeling, and autonomous systems. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where your work will directly shape the future of computational science.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for 2026-era problems
- Lead cross-functional teams in prototyping quantum AI solutions
- Contribute to open-source quantum libraries and research publications
- Optimize quantum circuit performance for AI workloads
- Translate theoretical quantum concepts into deployable software systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Deep understanding of quantum machine learning architectures
- Experience with high-performance computing and distributed systems
- Published research in quantum algorithms or AI optimization
- Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure)
- Ability to collaborate across physics, engineering, and AI domains