Job Description
Join NeuroSync Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-entangled neural networks that redefine human-machine collaboration. As a Quantum AI Research Scientist, you'll architect next-generation AI systems that leverage quantum computing principles to solve previously unsolvable challenges in healthcare, climate modeling, and autonomous systems. Our state-of-the-art lab in San Francisco's Innovation District offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
- Conduct advanced research in quantum neural network architectures
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish findings in top-tier journals and present at global tech conferences
- Secure and manage research grants from government and private entities
- Mentor junior researchers in emerging quantum computing paradigms
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- 3+ years of experience with quantum machine learning frameworks
- Expertise in Python, Qiskit, and TensorFlow Quantum
- Proven track record of peer-reviewed research publications
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to translate complex theoretical concepts into practical implementations