Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering the 2026 Quantum-AI convergence to redefine human-machine collaboration. As our Lead Quantum AI Engineer, you'll architect next-generation solutions that bridge quantum computing breakthroughs with advanced neural networks. Your work will directly impact industries from healthcare to space exploration, pushing the boundaries of what's computationally possible.
We offer a collaborative environment where your expertise in quantum algorithms and machine learning will shape the future. Our Austin campus features state-of-the-art quantum labs and flexible work arrangements designed for peak innovation.
Responsibilities
- Design and implement quantum neural networks for 2026-era autonomous systems
- Develop hybrid quantum-classical AI architectures for real-world applications
- Lead cross-functional teams in prototyping quantum-optimized machine learning models
- Collaborate with quantum hardware teams to overcome algorithmic limitations
- Research and publish breakthroughs in quantum-AI integration
- Translate theoretical quantum computing concepts into deployable AI solutions
- Mentor junior engineers in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in deep learning frameworks (TensorFlow, PyTorch)
- Published research in quantum machine learning or quantum AI
- Experience with high-performance computing and distributed systems
- Demonstrated ability to lead complex technical projects from concept to deployment
- Knowledge of quantum error correction and fault tolerance techniques