Job Description
Join Nexus AI Labs at the forefront of 2026's technological revolution. We're seeking an AI Systems Architect to design and implement next-generation neural networks that will redefine human-machine interaction. This role offers unparalleled opportunities to pioneer breakthroughs in autonomous systems, quantum-aided machine learning, and ethical AI frameworks.
As a key member of our R&D division, you'll collaborate with Nobel laureates and Silicon Valley visionaries to build the AI infrastructure that powers tomorrow's smart cities, personalized healthcare, and sustainable energy solutions. Our culture combines academic rigor with startup agility, offering competitive equity packages and unlimited learning resources.
Responsibilities
- Design scalable AI architectures integrating quantum computing and neuromorphic processors
- Lead development of ethical AI governance frameworks for 2026 regulatory compliance
- Optimize neural networks for edge deployment in autonomous vehicles and IoT ecosystems
- Research and implement federated learning systems across distributed computing networks
- Collaborate with quantum algorithm specialists to create hybrid AI-quantum solutions
- Mentor junior researchers in emerging AI paradigms like generative adversarial networks
- Publish findings in Nature AI and IEEE journals on breakthrough AI methodologies
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Expertise in TensorFlow/PyTorch frameworks and quantum programming languages (Q#, Qiskit)
- Proven track record of deploying production-scale LLM models (GPT-4+ equivalent)
- Deep understanding of 2026 AI ethics standards and regulatory frameworks
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Strong background in distributed systems and blockchain-based AI validation