Job Description
Join Nexus Technologies at the forefront of 2026's digital revolution! We're seeking a visionary AI Solutions Architect to design and implement next-generation artificial intelligence systems that will transform industries. As a key innovator in our Austin-based R&D hub, you'll collaborate with quantum computing specialists and neuro-linguistic experts to build autonomous solutions that adapt to human cognition. This hybrid role offers unparalleled opportunities to shape the future of human-AI collaboration while enjoying competitive benefits and cutting-edge resources.
Our ideal candidate thrives in ambiguity and possesses a passion for solving problems that don't yet exist. You'll work in a state-of-the-art facility with flexible hours, wellness stipends, and access to our experimental AI sandbox. We offer relocation assistance and visa sponsorship for exceptional international talent.
Responsibilities
- Design scalable AI architectures integrating quantum computing and neuromorphic processors
- Lead cross-disciplinary teams of robotics engineers, data scientists, and neuro-linguistic specialists
- Develop adaptive learning systems that evolve with human interaction patterns
- Implement ethical AI governance frameworks for autonomous decision-making systems
- Prototype next-gen neural interfaces for seamless human-machine collaboration
- Drive innovation in predictive analytics using multi-dimensional temporal data
- Collaborate with futurists to map 5-year technology adoption curves
Qualifications
- Advanced degree in Computer Science, AI, or Quantum Computing (PhD preferred)
- 8+ years building production AI systems with distributed computing frameworks
- Expertise in TensorFlow/PyTorch and quantum programming languages (Q# or Qiskit)
- Published research in neural networks or human-computer interaction
- Experience with ethical AI governance frameworks (e.g., EU AI Act, NIST RMF)
- Proficiency in neuro-symbolic AI and multi-modal learning architectures
- Strong background in human-centric design principles for autonomous systems
- Portfolio showcasing at least three AI projects with real-world impact