Job Description
Shape the future by designing AI systems that power 2026's most transformative technologies. At Nexus Dynamics, we're building the next generation of autonomous intelligence solutions, and we need visionary architects to lead the charge. Join our elite team in Austin to architect scalable, ethical AI frameworks that will redefine industries.
Why Nexus Dynamics? We're pioneers in human-centric AI development, offering cutting-edge resources, collaborative innovation labs, and opportunities to work on projects that will impact billions. Our culture values bold thinking, ethical innovation, and breakthrough problem-solving.
This role offers remote flexibility with quarterly on-site collaboration in our Austin innovation hub. We provide comprehensive benefits including equity, wellness stipends, and continuous learning programs.
Responsibilities
- Design and implement scalable AI system architectures for 2026-era autonomous platforms
- Lead cross-functional teams to integrate quantum computing modules with classical AI frameworks
- Develop ethical AI governance frameworks ensuring compliance with emerging 2026 global regulations
- Architect multimodal neural networks processing real-time data streams from IoT and satellite networks
- Create simulation environments for testing AI systems in hyper-realistic 2026 scenarios
- Optimize AI performance for edge deployment in next-gen autonomous vehicles and smart infrastructure
- Mentor junior architects on emerging AI paradigms and best practices
Qualifications
- 10+ years in AI/ML system architecture with 5+ years in leadership roles
- Expertise in quantum computing integration and distributed AI frameworks
- PhD or equivalent in Computer Science, AI, or related field
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Experience with ethical AI governance frameworks and regulatory compliance
- Track record of deploying production-grade AI systems at scale
- Strong background in autonomous systems or robotics