Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll develop next-gen neural interfaces that merge quantum computing with machine learning, revolutionizing fields from healthcare to climate science. Our state-of-the-art facility in San Francisco offers unparalleled resources to push beyond current computational boundaries. We value disruptive thinkers who thrive at the intersection of physics, AI, and ethics. If you're ready to shape the future of human-machine symbiosis, this is your calling.
Responsibilities
- Design and implement quantum algorithms for neural network optimization
- Develop hybrid quantum-classical computing frameworks for real-time AI training
- Lead cross-functional prototyping of quantum-AI hardware interfaces
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Collaborate with neuroscientists to model quantum-enhanced brain-computer interfaces
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in deep learning architectures and distributed computing
- Published research in quantum information science or AI
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum circuit design
- Demonstrated ability to translate theoretical concepts into scalable prototypes
- Strong background in computational complexity theory