GPU Platform Engineer — Large-Scale Compute & Kubernetes

Bake AI; Hillsboro (OR); On-site; USD 140,000 - 210,000; Full time

Job summary

Bake AI in Hillsboro, Oregon is seeking a hands-on Infrastructure Engineer to build and operate a large-scale GPU compute platform. You will work with research and engineering teams to ensure compute reliability and ease of use while supporting rapid iteration.

The role spans Linux, Kubernetes, networking, automation, observability, and GPU hardware, including troubleshooting Kubernetes workloads and deploying bare-metal servers across multi-node GPU systems.

Qualifications

• Strong experience administering Linux systems and troubleshooting performance issues.
• Hands-on experience operating Kubernetes and container infrastructure in a compute-heavy environment.
• Deep understanding of TCP/IP, VLANs, routing, DNS, NAT, and firewalls.
• Proficiency in automating infrastructure with Go, Bash, Ansible, or Terraform.
• Experience with monitoring/observability tools such as Prometheus, Grafana, or Loki.
• Ability to troubleshoot across hardware, operating systems, networks, containers, and applications.
• Willingness to work on-site in Hillsboro and handle equipment as needed.

Responsibilities

• Deploy, operate, expand, and troubleshoot bare-metal NVIDIA and AMD GPU clusters.
• Build and maintain Kubernetes platforms for training, inference, and research computing.
• Manage Linux, container runtimes, NVIDIA drivers, CUDA, and the GPU Operator.
• Configure and troubleshoot VLANs, routing, DNS, firewalls, and high-speed networks.
• Automate server provisioning, configuration, upgrades, monitoring, and recovery.
• Build monitoring and alerting for GPUs, servers, networks, storage, and Kubernetes.
• Improve resource scheduling, GPU utilization, platform reliability, and user isolation.
• Build internal tools that help research teams access compute and troubleshoot workloads.
• Perform hands-on rack installation, cabling, BMC/IPMI management, and hardware troubleshooting.
• Participate in on-call support for critical infrastructure and contribute to incident reviews.

Skills

Linux administration

Kubernetes

Networking (TCP/IP, VLANs, routing,DNS

Automation (Go,Bash,Ansible,Terraform)

Monitoring/observability (Prometheus,G

Tools

NVIDIA drivers

CUDA

GPU Operator

Job description

Bake AI in Hillsboro, Oregon is seeking a hands-on Infrastructure Engineer to build and operate a large-scale GPU compute platform. You will work with research and engineering teams to ensure compute reliability and ease of use while supporting rapid iteration.

The role spans Linux, Kubernetes, networking, automation, observability, and GPU hardware, including troubleshooting Kubernetes workloads and deploying bare-metal servers across multi-node GPU systems.