[Hiring] HPC - AI/ML Platform Engineer @Ford

Role Description

The selected candidate will join the team responsible for engineering and operating large-scale GPU and compute platforms that power AI/ML and high-performance computing workloads across multiple datacenters. This role focuses on building reliable, scalable GPU platforms and helping internal users successfully run AI/ML and high-performance workloads on Kubernetes and related compute infrastructure.

• Design, implement, and support GPU/Kubernetes clusters and supporting infrastructure
• Supporting AI/ML training, simulation, and HPC workload customers
• Develop automation and tooling for cluster provisioning, configuration management, and platform operations
• Collaborate with application and research teams to optimize workloads running on GPU infrastructure
• Implement monitoring, observability, and performance tuning across GPU and compute platforms
• Troubleshoot infrastructure issues across compute, networking, and container platforms (occasional on-call support)
• Contribute to platform reliability, scalability, and operational best practices
• Produce clear technical documentation and operational runbooks

Qualifications

• 5+ years of Linux systems engineering or infrastructure experience
• 2+ years working with container platforms such as Kubernetes or OpenShift
• Familiarity with Kubernetes GPU scheduling and related tooling
• Familiarity with CI/CD pipelines and platform engineering practices
• Experience operating compute infrastructure for high-performance workloads or large distributed systems
• Strong scripting or programming skills (Python, Bash, or similar)
• Experience building infrastructure automation and operational tooling
• Strong troubleshooting and problem-solving skills across complex infrastructure systems
• Ability to communicate clearly with both platform engineers and application teams
• Demonstrated ability to manage multiple technical initiatives simultaneously

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience (Nice to Have)
• Experience with observability platforms such as Prometheus, Grafana, or similar (Nice to Have)
• Experience with infrastructure automation tools (Ansible, Terraform, etc.) (Nice to Have)
• Experience with high-speed networking technologies such as InfiniBand or RDMA (Nice to Have)

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time