Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms, collaborate with Nobel laureates, and deploy solutions that solve humanity's grandest challenges. Our Austin campus features state-of-the-art labs, unlimited R&D budgets, and a culture where innovation thrives. Relocation assistance included!
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization problems
- Lead cross-functional teams in prototyping quantum neural networks
- Develop error correction protocols for fault-tolerant quantum systems
- Collaborate with hardware teams to translate theoretical models into functional prototypes
- Secure research funding through NSF and DARPA proposals
- Mentor PhD candidates in quantum machine learning
- Author breakthrough publications in Nature/Science journals
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in Python/C++ with quantum frameworks (Qiskit, Cirq)
- Publication record in top-tier quantum/AI conferences
- Deep understanding of quantum entanglement and decoherence
- Experience with quantum hardware (IBM, Rigetti, IonQ)
- Strong background in tensor networks and quantum simulations