Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration for next-generation computational systems. As a Quantum AI Research Engineer, you'll architect hybrid algorithms that redefine machine learning paradigms while operating in our state-of-the-art Austin R&D facility. This role offers unparalleled opportunities to publish breakthrough research and shape the future of computational intelligence.
Responsibilities
- Develop novel quantum machine learning models for real-world problem-solving
- Design fault-tolerant quantum circuits optimized for AI workloads
- Collaborate with cross-disciplinary teams to prototype quantum-AI applications
- Lead research initiatives in quantum neural networks and optimization algorithms
- Translate theoretical quantum computing concepts into practical implementations
- Author whitepapers and patents for industry-defining innovations
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in machine learning libraries (PyTorch, TensorFlow) and quantum simulation tools
- Publication record in quantum computing or AI conferences (QIP, NeurIPS)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, quantum mechanics, and algorithm design
- Ability to communicate complex quantum concepts to technical and non-technical stakeholders