Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution! We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Architect, you'll design next-generation neural networks that harness quantum entanglement for exponential computational power. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
We provide competitive compensation, equity packages, and flexible work arrangements. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity drives innovation. Your work will directly impact fields from climate modeling to personalized medicine.
Responsibilities
- Design and implement quantum neural networks leveraging Qiskit and TensorFlow Quantum
- Develop hybrid quantum-classical algorithms for machine learning optimization
- Lead cross-functional teams in prototyping quantum AI applications
- Research and mitigate quantum decoherence effects in real-time systems
- Create architectural blueprints for scalable quantum computing infrastructure
- Publish findings in leading journals and present at international conferences
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or AI journals
- Experience with quantum hardware (IBM Quantum, Rigetti, D-Wave)
- Proven ability to translate complex theoretical concepts into practical solutions
- Exceptional problem-solving skills for multi-variable quantum systems