Job Description
Are you ready to architect the infrastructure of tomorrow? Nebula AI Systems is at the forefront of the 2026 revolution, building next-generation neural networks and autonomous systems. We are seeking a visionary Senior AI Infrastructure Architect to design scalable, high-performance computing environments that power the future of artificial intelligence.
In this role, you won't just maintain systems; you will pioneer the integration of neuromorphic computing and quantum-ready architectures. You will collaborate with world-class engineers to deploy machine learning models that operate at the edge of possibility, ensuring security, efficiency, and ethical compliance.
If you are passionate about pushing the boundaries of what's possible in tech and want to lead a team that defines the standard for 2026 and beyond, we want to hear from you.
Responsibilities
- Architect Next-Gen AI Ecosystems: Design and oversee the deployment of scalable machine learning infrastructure capable of processing petabytes of real-time data with sub-millisecond latency.
- Quantum-Ready Integration: Collaborate with R&D teams to integrate quantum computing principles into classical neural network frameworks, preparing our systems for the quantum leap in 2026.
- Optimization & Scalability: Implement advanced containerization and orchestration strategies (Kubernetes/Docker) to optimize resource allocation and reduce operational costs.
- Security & Compliance: Establish rigorous security protocols for AI model training and inference, ensuring full compliance with emerging global data privacy regulations.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
Qualifications
- Education: Master’s degree in Computer Science, Electrical Engineering, or a related field (PhD preferred).
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically focused on AI infrastructure and high-performance computing.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and C++.
- Cloud Mastery: Proven track record designing solutions on AWS, Azure, or Google Cloud Platform (GCP) with a focus on serverless and edge computing.
- System Design: Strong understanding of distributed systems, microservices architecture, and database management systems (NoSQL, Time-series).
- Soft Skills: Exceptional problem-solving abilities, excellent communication skills, and the ability to translate complex technical concepts for non-technical stakeholders.