Senior Manager - AI Infrastructure & GPU Engineering

Senior Manager - AI Infrastructure & GPU Engineering

Join EY to apply for the Senior Manager - AI Infrastructure & GPU Engineering role.

We’re seeking a seasoned Senior Manager to architect and lead the development of GPU-based infrastructure for scalable AI workloads. This role is ideal for a technical leader with deep expertise in infrastructure and DevOps, who thrives in high‑performance environments and is passionate about enabling reliable, production‑grade AI systems.

Your Key Responsibilities

• Architect and manage GPU infrastructure to support scalable AI workloads.
• Lead implementation of NVIDIA enterprise software including CUDA, Triton Inference Server, and NIM/NCP services.
• Provide DevOps and AIOps leadership across CI/CD, observability, and reliability engineering practices.
• Mentor infrastructure-focused Managers on system performance optimization and best practices.

Skills And Attributes for Success

• Strategic thinking with hands‑on technical leadership.
• Strong troubleshooting and performance tuning capabilities.
• Ability to lead cross‑functional teams and drive infrastructure excellence.
• Passion for innovation and continuous improvement in AI systems.
• Embrace emerging technologies and digital tools to enhance collaboration, streamline workflows, and improve service delivery.
• Promote a culture of continuous learning and adaptability in a hybrid work environment.
• Lead with insight and analytical vigor.
• Apply complex problem‑solving and critical thinking to evaluate data, identify trends, and make informed decisions.
• Translate insights into actionable strategies that drive measurable outcomes.

To Qualify You Must Have

• 8–12+ years of experience in infrastructure or platform engineering.
• Strong knowledge of the NVIDIA GPU ecosystem, including MIG, Run.ai, and Kubernetes operators.
• Experience with Terraform, Ansible, Helm, and monitoring stacks such as Prometheus and Grafana.
• Familiarity with hybrid cloud environments (Azure, AWS, GCP) for GPU workloads.

Ideally, You'll Also Have

• Experience deploying and scaling AI infrastructure in enterprise settings.
• Knowledge of security and compliance considerations for AI platforms.
• Excellent communication and stakeholder engagement skills.

What We Offer You

• A comprehensive compensation and benefits package – base salary $144,000 to $329,100 (US). Additional benefits include medical and dental coverage, pension and 401(k), and paid time off.
• A flexible hybrid work model with 40‑60% in‑person expectations.
• Under our flexible vacation policy, choose how much vacation time you need.

EY accepts applications for this position on an on‑going basis.

EEO Statement

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.