Job Description
Are you ready to define the technological landscape of 2026? At Nebula Systems, we aren't just building software; we are architecting the future. We are seeking a visionary AI Infrastructure Architect to lead our next-generation neural network initiatives. In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, production-grade engineering.
We are looking for a thought leader who thrives on complexity and is passionate about the next wave of technological evolution. If you want to build the systems that will power the world in the years to come, we want to hear from you.
Responsibilities
- Architect and implement high-availability AI infrastructure capable of scaling to 2026 demands.
- Lead the integration of generative AI models into core business workflows.
- Conduct research and prototype emerging technologies, including neuromorphic computing and quantum-ready algorithms.
- Collaborate with cross-functional teams to define technical roadmaps for the next decade.
- Mentor junior engineers and architects on best practices for scalable machine learning systems.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML infrastructure.
- Deep proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
- Experience with containerization technologies (Docker, Kubernetes) and serverless architectures.
- Strong understanding of data privacy, ethics in AI, and compliance standards (SOC2, GDPR).