Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as a Quantum AI Integration Specialist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers the rare opportunity to architect next-generation systems that will redefine industries and shape our collective future.
As a key member of our Quantum AI Division, you'll collaborate with Nobel laureates, Turing Award winners, and visionary engineers to develop hybrid quantum-neural architectures. You'll work in our state-of-the-art Austin facility equipped with quantum processors, advanced simulation environments, and dedicated research pods.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for optimization, cryptography, and machine learning applications
- Develop real-time quantum neural network interfaces bridging classical computing with quantum processors
- Lead cross-functional research teams to prototype quantum-enhanced AI solutions for healthcare, logistics, and climate modeling
- Architect secure quantum communication protocols integrating AI-driven anomaly detection
- Publish breakthrough research in top-tier journals and present findings at global tech summits
- Mentor junior researchers in quantum computing principles and AI integration methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years of AI integration experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, Q#) and machine learning libraries (TensorFlow Quantum, PennyLane)
- Proven track record of publishing quantum-AI research in Nature/Science journals or top-tier conferences
- Deep understanding of quantum error correction, fault tolerance, and NISQ-era limitations
- Proficiency in high-performance computing environments and distributed quantum systems
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
- Strong background in computational complexity theory and quantum algorithm optimization