Job Description
Join QuantumLeap Systems at the forefront of 2026 technology innovation. We're seeking a visionary Senior AI Engineer to architect next-generation artificial intelligence solutions that will redefine industries. Our Austin-based R&D hub operates at the intersection of quantum computing and neural networks, pushing the boundaries of what's possible. This hybrid role offers unparalleled opportunities to shape the future of autonomous systems while collaborating with Nobel Prize-winning researchers in our state-of-the-art facility.
Why QuantumLeap? We offer competitive equity packages, unlimited learning stipends, and exclusive access to our 2026 Tech Lab. Our engineers work 4-day weeks with flexible scheduling, ensuring peak creativity and work-life integration.
Responsibilities
- Architect and deploy production-scale AI systems leveraging quantum-enhanced algorithms
- Lead cross-functional teams in developing autonomous decision frameworks for 2026 use cases
- Pioneer new neural network architectures compatible with quantum processors
- Optimize AI models for edge deployment in next-generation IoT ecosystems
- Translate complex 2026 technology roadmaps into actionable engineering specifications
- Mentor junior engineers in emerging AI paradigms and quantum computing principles
- Collaborate with academic partners to publish breakthrough research in Nature/Science
Qualifications
- PhD in Computer Science, AI, or Quantum Physics with 5+ years industry experience
- Expertise in Python, TensorFlow, and PyTorch with quantum computing frameworks
- Proven track record deploying AI systems at scale (10M+ users or enterprise-level)
- Published research in top-tier AI/quantum journals or conference proceedings
- Deep understanding of 2026 technology trends including neuromorphic computing
- Experience with MLOps and CI/CD pipelines for AI lifecycle management
- Strong background in ethical AI development and bias mitigation strategies