Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, equipped with state-of-the-art quantum processors and AI supercomputing infrastructure.
Our team operates at the intersection of quantum mechanics, machine learning, and distributed systems to solve previously impossible challenges—from climate modeling to drug discovery. This isn't just a job; it's your chance to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms for NISQ-era processors
- Develop hybrid quantum-classical AI frameworks for real-world applications
- Lead research in quantum neural networks and quantum-enhanced optimization
- Collaborate with hardware teams to co-design quantum-AI system architectures
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to open-source quantum-AI libraries
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Expertise in Python, Qiskit, Cirq, and quantum circuit optimization
- Strong background in linear algebra, probability, and computational complexity
- Experience with high-performance computing and distributed systems
- Published research in quantum computing or AI at top-tier conferences
- Passion for ethical AI development and quantum security principles