Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop revolutionary algorithms that will redefine computational capabilities for 2026 and beyond. This role offers unparalleled opportunities to shape the future of technology in our state-of-the-art Austin research facility.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Develop hybrid quantum-classical computing frameworks for complex problem-solving
- Collaborate with cross-disciplinary teams to integrate quantum solutions into real-world applications
- Lead research initiatives in quantum neural networks and optimization techniques
- Contribute to open-source quantum AI projects and publish breakthrough research
- Prototype and validate quantum computing architectures for enterprise-scale deployments
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Deep understanding of quantum algorithms and error correction methodologies
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and classical AI
- Published research in quantum computing or quantum machine learning
- Experience with high-performance computing environments and cloud quantum platforms
- Proven ability to translate theoretical concepts into practical implementations