Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our Austin-based hub offers unparalleled resources and a culture where innovation thrives. Shape the future of technology while collaborating with Nobel laureates and industry pioneers in our state-of-the-art quantum research facility.
Responsibilities
- Design and implement hybrid quantum-classical AI models for predictive analytics
- Develop error-corrected quantum neural networks for real-time data processing
- Optimize quantum algorithms for NISQ-era hardware limitations
- Lead cross-functional R&D initiatives with physics, ML, and cybersecurity teams
- Translate theoretical quantum computing concepts into deployable enterprise solutions
- Publish breakthrough research in top-tier journals and industry whitepapers
- Drive patent development in quantum machine learning architectures
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Proven track record in quantum algorithm development and optimization
- Strong foundation in machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ)
- Published research in quantum computing or AI/ML conferences
- Proficiency in high-performance computing and parallel processing
- Ability to translate complex quantum concepts into actionable business solutions