Job Description
Shape the future of technology as a Quantum AI Research Engineer at Nexus Quantum Labs in 2026. Join our elite team pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. We're seeking visionary innovators to develop next-generation quantum algorithms, optimize machine learning models on quantum hardware, and contribute to breakthroughs in cryptography, drug discovery, and climate modeling. Our state-of-the-art facility in Austin offers unparalleled resources, including access to 1,000+ qubit processors and collaborative spaces where interdisciplinary minds accelerate scientific progress.
Responsibilities
- Design and implement quantum algorithms for AI acceleration and optimization
- Develop hybrid quantum-classical machine learning frameworks for real-world applications
- Collaborate with physicists to translate theoretical quantum models into functional code
- Lead research projects in quantum cryptography and secure AI systems
- Publish findings in top-tier journals and present at international conferences
- Contribute to open-source quantum computing libraries and tools
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
- Deep understanding of quantum algorithms, error correction, and entanglement principles
- Experience with machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or AI/ML at top-tier conferences
- Familiarity with quantum hardware architectures (superconducting, trapped ions)
- Track record of solving complex technical problems with innovative solutions