Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering breakthroughs in quantum AI and neural interface systems that will redefine human-computer interaction. As an AI Research Scientist, you'll architect next-generation algorithms for our Quantum AI Division, collaborating with Nobel laureates and Silicon Valley's brightest minds. Our state-of-the-art facility in San Francisco offers unparalleled resources including a 500-qubit quantum processor and neural simulation clusters. This role directly contributes to projects that will power the next decade of technological advancement.
Responsibilities
- Design and implement cutting-edge AI algorithms for quantum neural networks
- Lead research initiatives in brain-computer interface optimization
- Develop predictive models for autonomous systems in 2026 smart ecosystems
- Publish findings in top-tier journals (Nature, Science, NeurIPS)
- Collaborate with hardware teams on quantum-AI co-design
- Mentor PhD researchers in advanced machine learning techniques
- Secure federal grants for future-focused AI research
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years research experience
- Expertise in quantum machine learning and tensor network theory
- Published work in top-tier AI/quantum computing conferences
- Proficiency in Python, TensorFlow Quantum, and Cirq frameworks
- Deep understanding of neuromorphic computing architectures
- Experience with high-performance computing clusters (HPC)
- Strong track record of securing research funding
- Fluency in emerging AI ethics frameworks