Job Description
We are on a mission to architect the digital future. Nebula Future Labs is seeking a visionary Senior AI Infrastructure Engineer to lead the critical infrastructure development for our flagship 2026 product launch. In this role, you will bridge the gap between cutting-edge generative AI models and scalable, high-performance hardware architectures.
You will define the technical roadmap for next-gen data centers, ensuring our systems are not just functional, but resilient, efficient, and future-proof. If you thrive in a high-stakes, innovative environment and want to define the standards for AI in the coming decade, we want to hear from you.
Responsibilities
- Design and deploy scalable distributed computing systems capable of handling petabyte-scale AI workloads.
- Architect seamless integration layers between quantum hardware prototypes and classical AI software stacks.
- Optimize inference pipelines to reduce latency and maximize energy efficiency for 2026 deployment targets.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Implement rigorous security protocols and data governance frameworks to protect sensitive AI models.
- Mentor junior engineers and establish best practices for infrastructure as code (IaC).
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- 5+ years of experience designing and managing large-scale distributed systems in cloud environments (AWS, GCP, or Azure).
- Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes orchestration.
- Experience with edge computing architectures and hardware acceleration (FPGA/ASIC).
- Strong understanding of network protocols, containerization, and microservices architecture.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.