Job Description
Join NeuroFuture Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge hardware, publish breakthrough research, and shape the future of human-machine symbiosis.
Our state-of-the-art facility in San Francisco's innovation district provides access to quantum processors, AI superclusters, and a multidisciplinary team of Nobel laureates and industry pioneers. You'll collaborate on projects ranging from quantum neural networks to autonomous AI systems, with resources dedicated to transforming theoretical concepts into real-world applications.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical AI architectures for 2026-era applications
- Lead research initiatives in quantum neural networks and computational neuroscience
- Collaborate with hardware teams to optimize AI workloads on quantum processors
- Author breakthrough research papers for top-tier scientific journals
- Mentor junior researchers and drive innovation in quantum AI methodologies
- Translate theoretical models into scalable production systems
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum machine learning or related fields
- Proficiency in Python, C++, and low-level quantum assembly languages
- Demonstrated ability to bridge theoretical concepts and practical implementations
- Strong background in cryptography, information theory, or computational complexity