Job Description
We are seeking a visionary Senior AI Infrastructure Architect to lead the engineering team in building the foundational systems for our 2026 roadmap. As we pioneer the next generation of generative AI, you will be responsible for architecting resilient, scalable, and high-performance compute environments that can handle the demands of tomorrow's models.
Why Join Us?
We are a forward-thinking organization focused on long-term technological impact. You will work with state-of-the-art hardware and software stacks, collaborating with top-tier researchers to deploy models that redefine industry standards.
Responsibilities
- Architect and deploy scalable GPU clusters and distributed computing systems optimized for AI workloads.
- Design and implement high-availability infrastructure using Kubernetes and containerization technologies.
- Collaborate with ML engineers to optimize model serving latency and throughput.
- Implement robust monitoring, logging, and alerting systems to ensure system reliability.
- Drive the adoption of next-gen hardware (e.g., TPUs, NVLink) for 2026 compute requirements.
- Mentor junior engineers and establish best practices for cloud-native AI infrastructure.
Qualifications
- 5+ years of experience in systems engineering, DevOps, or infrastructure architecture.
- Deep expertise in Python, Go, or Rust for infrastructure automation.
- Proficiency with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
- Strong understanding of machine learning frameworks (PyTorch, TensorFlow) and how they interact with hardware.
- Experience with high-performance computing (HPC) environments and networking.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.