AI Infrastructure Platform Engineer

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Austin that develops computer processors and related technologies for business and consumer markets. Global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories graphics processors motherboard chip sets and a variety of components used in consumer electronics goods.

Job Title: AI Infrastructure / Platform Engineer
Duration: 6 Months
Location: San Jose CA
Job Type: Temporary assignment
Work Type: Onsite/Hybrid

The role:

We are seeking an AI Infrastructure / Platform Engineer to join our team building and operating large-scale GPU compute infrastructure that powers AI and ML workloads. The ideal candidate should be passionate about software engineering and possess leadership skills to independently deliver on multiple projects. They should be able to communicate effectively and work optimally with their peers within our larger organization.

The person:

Experience in Platform Infrastructure DevOps Engineering.

Deep hands-on experience with Kubernetes and container orchestration at scale.

Proven ability to design and deliver platform features that serve internal customers or developer teams

Experience building developer-facing platforms or internal developer portals (e.g. Custom workflow tooling).

Key responsibilities:

Build and extend platform capabilities to enable different classes of workloads (e.g. Large-scale AI training inferencing etc).

Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments.

Develop platform features such as pre-flight health checks job status monitoring and post-mortem analysis.

Partner with development teams to extend the GPU developer platform with features APIs templates and self-service workflows that streamline job orchestration and environment management.

Apply expertise in storage and networking to design and integrate CSI drivers persistent volumes and network policies that enable high-performance GPU workloads.

Production support on large-scale GPU clusters.

Preferred experience:

Hands-on experience in storage or network engineering within Kubernetes environments (e.g. CSI drivers dynamic provisioning CNI plugins or network policy).

Experience with Infrastructure as Code tools like Terraform.

Background in HPC Slurm or GPU-based compute systems for ML/AI workloads.

Practical experience with monitoring and observability tools (Prometheus Grafana Loki etc.).

Understanding of machine learning frameworks (PyTorch vLLM SGLang etc.).

High performance network and IB/RDMA tuning.

Academic credentials:

Bachelors or masters degree in computer science computer engineering electrical engineering or equivalent.

TekWissen Group is an equal opportunity employer supporting workforce diversity.