Job Description
Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI Systems Engineer to architect next-generation autonomous systems that will redefine human-machine interaction. As we approach the quantum-AI convergence era, you'll lead the development of self-evolving neural networks that adapt in real-time to complex environmental variables. Our Austin-based hub combines cutting-edge research with agile execution, offering unparalleled opportunities to shape the future of artificial general intelligence.
This role demands a blend of deep technical expertise and strategic innovation. You'll collaborate with Nobel laureates and industry pioneers to deploy AI systems that achieve superhuman performance in predictive modeling, natural language understanding, and autonomous decision-making. We offer competitive compensation, equity packages, and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement scalable AI architectures for 2026-era autonomous systems
- Lead the integration of quantum computing frameworks with classical neural networks
- Develop self-healing AI systems capable of continuous learning and adaptation
- Architect secure-by-design frameworks for ethical AI deployment in critical infrastructure
- Mentor cross-functional teams in advanced ML/DL techniques and best practices
- Drive innovation in neuromorphic computing and brain-inspired AI models
- Collaborate with product teams to translate AI capabilities into market-leading solutions
Qualifications
- PhD or MS in Computer Science/AI with 8+ years of production AI engineering experience
- Expertise in quantum machine learning frameworks and quantum-resistant algorithms
- Proven track record deploying autonomous systems in regulated industries
- Mastery of transformer architectures, federated learning, and generative AI
- Strong background in neuromorphic computing and spiking neural networks
- Experience with AI safety frameworks and ethical AI governance
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Proficiency in Python, TensorFlow/PyTorch, and quantum SDKs