Job Description
Join QuantumLeap Dynamics at the forefront of 2026 technological evolution. We're pioneering next-generation AI systems that will redefine industries. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in quantum-enhanced machine learning. Our San Francisco hub offers unparalleled resources, including a 10,000-qubit quantum computing cluster and an annual R&D budget exceeding $50 million. Shape the future while enjoying comprehensive benefits, flexible work arrangements, and equity participation in our unicorn trajectory.
Responsibilities
- Design and implement novel quantum-inspired neural architectures for 2026-era applications
- Lead cross-functional teams in developing ethical AI frameworks aligned with global regulatory standards
- Author breakthrough research publications for top-tier journals (Nature, Science, NeurIPS)
- Optimize computational models for edge deployment across IoT and autonomous systems
- Mentor PhD candidates in our Quantum-AI Fellowship Program
- Secure $5M+ in annual federal and private research grants
- Prototype AI solutions for climate modeling and sustainable energy systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent breakthrough research)
- 5+ years of experience publishing in top-tier AI/quantum conferences
- Expertise in Python, TensorFlow, PyTorch, and quantum simulation frameworks
- Proven track record of commercializing AI technologies with 10M+ user impact
- Deep understanding of quantum advantage algorithms and error correction
- Experience securing DARPA/NASA grants or equivalent industry funding
- Fluency in ethical AI governance frameworks (EU AI Act, NIST standards)
- Portfolio of 3+ open-source projects with 1K+ GitHub stars