AI Infrastructure Engineer - NVIDIA GPU

SyncreonConsulting

Lake Mary, FL, United States permanent

Posted: March 19, 2026

Required Skills

Job Description

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies

In this role, you’ll make an impact in the following ways:

• Be hands-on with enterprise-grade NVIDIA AI infrastructure, supporting GPU-based compute, high-performance storage, and network systems designed for ML/AI at scale.
• Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools like Run:AI and NVIDIA BCM.
• Own the observability of our AI platforms—monitor health, identify performance bottlenecks, and make strategic recommendations to drive platform reliability and maturity.
• Automate infrastructure operations and provisioning using Python, Bash, and tools like Terraform or Ansible to reduce manual toil and accelerate experimentation.
• Maintain and scale AI training and inference pipelines, integrating infrastructure workflows into CI/CD systems to enable seamless, automated deployment of AI workloads.

To be successful in this role, we’re seeking the following:

• Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred8-10 years of related experience required; experience in the securities or financial services industry is a plus.
• Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system-level debugging.
• Proven experience running distributed systems in Kubernetes and containerized environments using Docker.
• Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle.
• Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible.
• Knowledge of networking fundamentals and persistent storage systems.
• Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments.
• Ability to read and support Python code focused on ML/AI pipeline integration.
• Strong analytical and troubleshooting skills with a collaborative mindset.

Effective communication skills and proactive ownership of platform reliability and performance.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

All your information will be kept confidential according to EEO guidelines.

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