Job Description
Join Nexus Future Labs at the cutting edge of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary Quantum AI Researcher to architect next-generation AI systems that merge quantum computing with machine learning. This role demands a forward-thinker who will develop breakthrough algorithms for autonomous systems, climate modeling, and personalized medicine. You'll collaborate with Nobel laureates and Silicon Valley disruptors in our Austin-based quantum hub, equipped with state-of-the-art D-Wave and IBM quantum processors. Shape the future you'll live in.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for 2026-era applications
- Lead research in quantum machine learning optimization for real-time decision-making
- Develop predictive models for global systems (climate, healthcare, infrastructure) using quantum computing
- Collaborate with hardware teams to co-design quantum-resistant AI frameworks
- Author peer-reviewed publications and patents for 2026 technology roadmaps
- Mentor junior researchers in emerging quantum-AI methodologies
- Present findings at international conferences including IEEE Quantum Week and NeurIPS 2026
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (with AI focus)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Publication record in top-tier AI/quantum journals (Nature, Science, etc.)
- Expertise in tensor networks and quantum error correction for large-scale models
- Proven ability to translate theoretical concepts into deployable prototypes
- Experience with high-performance computing (HPC) and GPU acceleration
- Deep understanding of 2026 technology landscape and ethical AI implications