EY
Manager - AI Infrastructure Engineer
EY
Location Alpharetta, Atlanta, GA
Overview We’re hiring two experienced AI Infrastructure Engineers to lead the implementation and optimization of GPU-based systems for AI workloads. This role is ideal for professionals with deep expertise in infrastructure, DevOps, and AI operations, who thrive in fast-paced environments and are passionate about enabling scalable AI solutions.
Key Responsibilities
Implement GPU infrastructure for AI workloads.
Configure and optimize NVIDIA enterprise software stack.
Develop automation scripts for deployment, scaling, and monitoring.
Support AIOps practices including observability, system health, and incident response.
Skills & Attributes for Success
Strong analytical and troubleshooting skills.
Ability to lead infrastructure initiatives and mentor junior engineers.
Comfort working across cross‑functional teams and managing competing priorities.
Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.
Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long‑term engagement.
Use critical thinking and creative reasoning to address complex problems and exceed expectations.
Align cross‑functional teams around shared goals, ensuring accountability and progress; motivate others and deliver high‑impact results using emotional intelligence and collaboration.
Qualifications
5–8+ years of experience in infrastructure engineering, DevOps, or Site Reliability Engineering (SRE).
Strong proficiency with Linux systems and container orchestration tools like Docker and Kubernetes.
Experience with NVIDIA GPU stack, Triton Inference Server, and CUDA.
Skills in Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps).
Ideally, you’ll also have
Experience managing large‑scale AI infrastructure in production environments.
Familiarity with cloud‑native architectures and monitoring tools.
Excellent communication and leadership abilities.
What We Offer
A comprehensive compensation and benefits package with a base salary range of $125,500 to $230,200 in the U.S. (regionally adjusted ranges apply).
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Flexible hybrid work model with 40–60% on‑site expectations for client‑serving roles.
An inclusive culture that supports diversity, equity, and inclusion.
EEO Statement EY is an equal employment opportunity employer and prohibits discrimination based on any protected characteristic. We provide reasonable accommodations for qualified individuals with disabilities, including veterans, throughout the application process.
Apply Today EY accepts applications for this position on an ongoing basis.
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Location Alpharetta, Atlanta, GA
Overview We’re hiring two experienced AI Infrastructure Engineers to lead the implementation and optimization of GPU-based systems for AI workloads. This role is ideal for professionals with deep expertise in infrastructure, DevOps, and AI operations, who thrive in fast-paced environments and are passionate about enabling scalable AI solutions.
Key Responsibilities
Implement GPU infrastructure for AI workloads.
Configure and optimize NVIDIA enterprise software stack.
Develop automation scripts for deployment, scaling, and monitoring.
Support AIOps practices including observability, system health, and incident response.
Skills & Attributes for Success
Strong analytical and troubleshooting skills.
Ability to lead infrastructure initiatives and mentor junior engineers.
Comfort working across cross‑functional teams and managing competing priorities.
Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.
Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long‑term engagement.
Use critical thinking and creative reasoning to address complex problems and exceed expectations.
Align cross‑functional teams around shared goals, ensuring accountability and progress; motivate others and deliver high‑impact results using emotional intelligence and collaboration.
Qualifications
5–8+ years of experience in infrastructure engineering, DevOps, or Site Reliability Engineering (SRE).
Strong proficiency with Linux systems and container orchestration tools like Docker and Kubernetes.
Experience with NVIDIA GPU stack, Triton Inference Server, and CUDA.
Skills in Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps).
Ideally, you’ll also have
Experience managing large‑scale AI infrastructure in production environments.
Familiarity with cloud‑native architectures and monitoring tools.
Excellent communication and leadership abilities.
What We Offer
A comprehensive compensation and benefits package with a base salary range of $125,500 to $230,200 in the U.S. (regionally adjusted ranges apply).
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Flexible hybrid work model with 40–60% on‑site expectations for client‑serving roles.
An inclusive culture that supports diversity, equity, and inclusion.
EEO Statement EY is an equal employment opportunity employer and prohibits discrimination based on any protected characteristic. We provide reasonable accommodations for qualified individuals with disabilities, including veterans, throughout the application process.
Apply Today EY accepts applications for this position on an ongoing basis.
#J-18808-Ljbffr