Deskripsi Pekerjaan
Nexus Systems AI is seeking an exceptional Senior AI Infrastructure Engineer to design, scale, and optimize high-throughput distributed systems supporting large-scale machine learning workflows. In this role, you will architect resilient multi-node GPU clusters, streamline training pipelines, and ensure ultra-low latency inference for enterprise clients worldwide.
We provide competitive equity, comprehensive health benefits, generous 401(k) matching, and a flexible hybrid work schedule in downtown San Francisco.
Tanggung Jawab
- Architect and maintain distributed GPU computing clusters across multi-cloud environments.
- Optimize training and inference pipelines for multi-billion parameter foundation models.
- Implement automated orchestration and monitoring solutions using Kubernetes and Terraform.
- Collaborate with research scientists to eliminate storage and compute bottlenecks.
- Establish rigorous observability, profiling, and alerting frameworks for cluster health.
- Enforce zero-trust security postures across all infrastructure components.
Kualifikasi
- 5+ years of experience in backend infrastructure, distributed systems, or MLOps roles.
- Proficiency in Go, Python, or Rust, along with deep Linux kernel and networking expertise.
- Hands-on experience orchestrating large-scale GPU workloads using Kubernetes (Slurm is a plus).
- Demonstrated success optimizing high-throughput distributed storage systems (e.g., Ceph, Lustre).
- Strong understanding of deep learning frameworks such as PyTorch, JAX, or TensorRT.
- Bachelor's or Master's degree in Computer Science, or equivalent practical experience.