Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer AI systems for 2026 and beyond. We're seeking visionary AI Systems Architects to design next-generation neural networks that will redefine human-machine collaboration. This role offers unparalleled opportunity to shape the future of autonomous decision-making, quantum computing integration, and ethical AI frameworks. Our San Francisco hub fosters groundbreaking research with state-of-the-art facilities and collaborative cross-disciplinary teams. Work on projects that directly impact global sustainability initiatives and human augmentation technologies while enjoying competitive benefits, flexible work arrangements, and continuous learning opportunities.
Responsibilities
- Design and implement scalable AI architectures for quantum-enhanced machine learning models
- Lead cross-functional teams in developing ethical AI governance frameworks
- Optimize neural networks for real-time processing of multimodal data streams
- Integrate quantum computing capabilities into classical AI systems
- Develop adaptive security protocols for distributed AI networks
- Collaborate with neuroscientists to create brain-computer interfaces
- Conduct performance testing and optimization for edge-AI deployments
- Pioneer new approaches to explainable AI and transparent decision systems
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Expertise in quantum machine learning algorithms and hybrid quantum-classical systems
- Proficiency in TensorFlow, PyTorch, and quantum programming languages (Q#, Qiskit)
- Published research in top-tier AI/quantum computing conferences (NeurIPS, QIP)
- Strong background in distributed systems and high-performance computing architectures
- Experience with neuromorphic computing and brain-inspired AI models
- Certification in AI ethics frameworks (IEEE, ACM)
- Proven track record of leading complex R&D projects with measurable impact