Forward Deployed Infrastructure Engineer

Join an AI infrastructure team deploying machine learning software into enterprise customer environments, from cloud VPCs to on-premises hardware. You will own deployments end to end and work directly with customer IT, security, and platform teams to make complex installations reliable and repeatable.

• Plan, configure, test, and roll out deployments across customer cloud and on-premises environments.

• Partner with customer engineers and technical leaders, including through live calls and shared communication channels.

• Diagnose and resolve infrastructure issues involving Kubernetes configuration, cloud IAM, and networking.

• Build monitoring, telemetry, and automation that turn one-off deployment work into repeatable patterns.

• Understand the hardware used for machine learning workloads and deploy those workloads on customer-controlled infrastructure.

On-site in San Francisco, California, United States.

• At least 3 years of experience in infrastructure engineering, DevOps, or SRE.

• Deep production experience with Kubernetes and Terraform, plus hands-on expertise with AWS, GCP, or Azure, networking, and infrastructure as code.

• Experience with tools and technologies such as Python, Helm, Docker, Linux, GPU infrastructure, and customer-managed deployment environments.

• Experience shipping software into customer-controlled environments, such as VPC, air-gapped, on-premises, or customer-managed cluster deployments.

• Clear, structured communication and the ability to diagnose technical issues live with external engineering teams.

• Experience in a startup or high-growth technology environment and a strong record of engineering ownership.

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.