NVIDIA AI Enterprise Forward Deployed Engineer

About this role

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Accountable for the customer-facing platform layer: NVIDIA AI Enterprise (or a comparable GPU software stack) and Kubernetes/OpenShift. Takes the platform from validated infrastructure to production-ready AI services, with enablement and documentation that let the customer operate it.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are

Required Experience

· 5+ years in Linux platform engineering, Kubernetes/OpenShift, containers, automation, and production troubleshooting.

· Customer-facing implementation ownership through design, build, testing, production readiness, and handover.

· Scripting or development with Python, Bash, APIs, Git, CI/CD, or infrastructure-as-code tooling.

Preferred Skills

· NVIDIA AI Enterprise, CUDA, GPU Operator, Network Operator, DPU/DOCA, NIM, Triton, NGC, Run:ai, DGX OS, BCM.

· NVIDIA MIG, GPU scheduling, topology-aware placement, NVIDIA Container Toolkit, and GPU platform security.

· Distributed-training and inference tuning: NCCL, PyTorch distributed, Nsight profiling, Triton or Dynamo.
· Kubernetes/OpenShift platform engineering for accelerators, ML platforms, or distributed compute.

· Kubeflow, Slurm, VMware/private cloud GPU, public-cloud GPU, or other enterprise AI platforms.

· Model serving with K...