Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer next-generation AI systems for 2026. We're seeking visionary AI Systems Architects to design, develop, and deploy cutting-edge machine learning frameworks that will redefine industry standards. Our dynamic team operates at the intersection of quantum computing, neural networks, and predictive analytics, creating solutions that solve humanity's most complex challenges.
Why Nexus Future Labs?
- Culture of innovation with 20% R&D time
- Equity options in pre-IPO growth
- Partnerships with MIT and Stanford research labs
- State-of-the-art quantum computing resources
Responsibilities
- Architect scalable AI/ML pipelines using TensorFlow and PyTorch
- Design neural network architectures for quantum-classical hybrid systems
- Lead cross-functional teams in deploying production-grade AI solutions
- Research and implement ethical AI governance frameworks
- Optimize computational efficiency for edge and cloud deployment
- Develop predictive models for autonomous systems integration
- Collaborate with quantum computing specialists on hybrid algorithms
Qualifications
- PhD in Computer Science/AI or 8+ years equivalent experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Published research in top-tier AI conferences (NeurIPS/ICML)
- Proficiency in quantum programming languages (Qiskit/Cirq)
- Experience with MLOps tools (MLflow, Kubeflow)
- Strong background in distributed systems and high-performance computing
- Demonstrated leadership in complex AI project delivery