Job Description
Join NeuraLattice Systems at the forefront of 2026's technological revolution as we pioneer the fusion of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to work with our cutting-edge quantum hardware and collaborate with world-class researchers in a dynamic, innovation-driven environment.
What You'll Achieve: Design and implement quantum machine learning models, optimize quantum circuits for AI applications, and contribute to breakthrough research in quantum neural networks. Your work will directly impact industries from drug discovery to climate modeling.
Responsibilities
- Develop hybrid quantum-classical AI architectures for complex problem-solving
- Design and optimize quantum algorithms leveraging NISQ-era hardware
- Create novel error mitigation techniques for quantum neural networks
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Lead research initiatives in quantum-enhanced reinforcement learning
- Publish findings in top-tier scientific journals and conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years of research experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record in machine learning algorithm development
- Strong background in quantum error correction and fault tolerance
- Experience with high-performance computing and parallel processing
- Published research in quantum machine learning or related fields
- Proficiency in Python, TensorFlow/PyTorch, and quantum simulation tools
- Demonstrated ability to translate theoretical concepts into practical implementations