Job Description
Join QuantumLeap Labs at the forefront of AI innovation to shape the future of technology. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum computing, neural networks, and autonomous systems. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility. Enjoy unparalleled resources, flexible work arrangements, and equity participation in projects that will define 2026's technological landscape. Your work will directly impact industries from healthcare to aerospace.
We offer competitive compensation, comprehensive benefits including premium healthcare, and a culture that celebrates intellectual curiosity. Our teams operate on a 4-day work week model with unlimited PTO, ensuring optimal work-life balance while pushing the boundaries of what's possible.
Responsibilities
- Design and implement cutting-edge AI architectures for quantum-classical hybrid systems
- Lead research initiatives in neuromorphic computing and generative adversarial networks
- Publish breakthrough findings in top-tier journals and conferences (NeurIPS, ICML)
- Collaborate with engineering teams to translate research into production-ready solutions
- Mentor junior researchers and foster cross-disciplinary innovation
- Develop proprietary algorithms for real-time data processing at petabyte scale
- Secure federal and private research grants to expand quantum AI capabilities
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years research experience
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks (Qiskit, Cirq)
- Published record in top-tier AI/quantum journals (Nature, Science)
- Proficiency with GPU/TPU computing architectures and distributed systems
- Deep understanding of quantum machine learning algorithms and error correction
- Proven ability to secure research funding ($500k+ in grants)
- Experience mentoring PhD-level researchers and leading cross-functional teams