Job Description
Join Nexus Innovations in 2026 to architect the next generation of AI-powered systems that will redefine human-machine interaction. We're seeking visionary engineers to build scalable, ethical AI frameworks for autonomous vehicles, quantum computing interfaces, and neural networks. This role sits at the intersection of breakthrough research and real-world deployment in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement quantum-resistant AI architectures
- Lead cross-functional teams in developing neural-symbolic integration systems
- Optimize federated learning models for edge computing environments
- Architect ethical AI governance frameworks aligned with 2026 regulatory standards
- Develop adaptive security protocols for AI-powered autonomous systems
- Prototype neuromorphic computing solutions for real-time decision-making
- Collaborate with quantum computing teams on hybrid AI-quantum algorithms
Qualifications
- PhD or equivalent in AI/Computer Science with 5+ years systems architecture experience
- Expertise in quantum-resistant cryptography and federated learning
- Proven track record deploying production-grade neural-symbolic systems
- Proficiency in PyTorch 3.0, TensorFlow Quantum, and neuromorphic SDKs
- Published research in top-tier AI journals (NeurIPS, ICML, etc.)
- Experience with ethical AI frameworks and bias mitigation techniques
- Strong background in distributed systems and edge computing optimization