HPC - AI and ML Platform Engineer

About

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. The team manages Kubernetes‑based GPU environments, cluster infrastructure, and the supporting systems that enable internal engineering teams to train models, run simulations, and develop advanced software at scale.

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.

Responsibilities

• Design, implement, and support GPU/Kubernetes clusters and supporting infrastructure
• Support 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

Must Have

• 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

Nice to Have

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

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

For a detailed look at our benefits, click here: Benefit Summary

Compensation

• Salary grade 8, ranging from $113,580 – $190,500

Visa Sponsorship is not provided for this role.

Eligibility

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Equal Opportunity

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1‑888‑336‑0660.

Additional Information

• #LI-Remote
• #LI-GH2
• Requisition ID: 60349