Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we architect AI systems that will define 2026. This role demands a visionary thinker to design next-generation neural networks and quantum-integrated AI frameworks. You'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges through autonomous systems and predictive analytics. Our Austin campus features state-of-the-art labs and unlimited compute resources. We offer comprehensive benefits including equity, relocation assistance, and flexible hybrid work arrangements.
Responsibilities
- Design and implement scalable AI architectures for 2026-era autonomous systems
- Lead cross-functional teams in developing quantum-enhanced machine learning models
- Research and integrate emerging technologies (neuromorphic computing, bio-AI interfaces)
- Optimize neural networks for edge deployment in IoT ecosystems
- Develop ethical AI governance frameworks aligned with 2030 UN standards
- Present breakthrough findings at global tech summits and publish in Nature/AI journals
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proven track record of deploying production-level AI systems at scale
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Strong background in AI ethics, bias mitigation, and explainable AI
- Experience with cloud-native AI deployment (AWS/GCP/Azure) and MLOps