Senior AI Infra Architect: Scalable GPU & Edge Platforms

Seekr; San Francisco (CA); Hybrid; USD 190,000 - 260,000; Full time

Benefits offered by this job

Equity ownership – RSUs

Unlimited PTO

Flexible hybrid work environment

401(k) with company match

Comprehensive health & wellness

Parental leave

Job summary

Seekr is hiring a Senior AI Infrastructure Engineer to design, build, and operate platforms for training, serving, evaluation, and deployment of foundation models and autonomous AI agents.

You will work across distributed systems, Kubernetes, GPU infrastructure, and enterprise AI platforms to build scalable, secure, and reliable systems for workloads from edge deployments to trillion-parameter models.

Qualifications

• 5–8 years in distributed systems or cloud infrastructure.
• Proven ability to design and operate Kubernetes-based platforms.
• Experience with AI/ML infrastructure and production systems.
• Strong Python and Go/C++ skills.

Responsibilities

• Design, build, and operate production AI infrastructure for training, inference, and evaluation.
• Manage Kubernetes-based GPU clusters across cloud/on-premise/edge environments.
• Optimize latency, throughput, and cost for large-scale models.
• Develop IaC, GitOps pipelines, and comprehensive observability.

Skills

Distributed systems

Kubernetes

Python

Cloud infrastructure

AI platform engineering

Performance tuning

Education

BS in Computer Science or related field

Tools

Argo CD

Prometheus

Grafana

Docker

Terraform

Job description

Seekr is hiring a Senior AI Infrastructure Engineer to design, build, and operate platforms for training, serving, evaluation, and deployment of foundation models and autonomous AI agents.

You will work across distributed systems, Kubernetes, GPU infrastructure, and enterprise AI platforms to build scalable, secure, and reliable systems for workloads from edge deployments to trillion-parameter models.