Technical Program Manager - AI Infra

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

We are seeking a Technical Program Manager (TPM) to lead strategic programs focused on developing scalable, modern AI infrastructure and reference architectures. This role will drive innovative solutions to enable cutting‑edge AI advancements, with a focus on leveraging NVIDIA GPU‑based architectures and ensuring seamless integration into cloud‑native environments. The ideal candidate will be an experienced program manager with a strong technical background, capable of collaborating across diverse teams to deliver impactful results in the competitive AI space.

• Partner with engineering and research teams to define, align, and drive execution of AI‑focused system architectures and infrastructure initiatives, including programs leveraging high‑performance hardware such as NVIDIA GPUs.

• Guide and coordinate the development of scalable, reliable, and efficient AI platforms
  , ensuring architectural decisions, roadmap priorities, and execution plans support long‑term technical and business objectives.

• Enable experimentation, prototyping, and innovation by removing execution barriers, securing resources, and ensuring teams have the processes and infrastructure needed to accelerate advanced AI solution development.

• Drive programs that build and scale AI infrastructure platforms supporting high‑performance training, inference, and deployment of machine learning models across the organization.

• Coordinate closely with engineering, research, and cloud platform teams to align architecture decisions, timelines, and implementation plans with modern best practices and long‑term infrastructure strategy.

• Oversee resource planning and optimization for AI compute environments
  , ensuring efficient GPU/CPU utilization, cost‑effective scaling, and performance benchmarks that meet or exceed organizational goals.

• Program Management Expertise:

  • Proven experience managing large‑scale, cross‑functional technology programs.
  • Strong organizational skills, with a track record of coordinating complex projects across multiple teams.

• Technical Background:

  • Strong understanding of AI and high‑performance computing systems
    , including hardware acceleration (NVIDIA GPUs), distributed systems, and modern cloud‑based architectures.

  • Knowledge with scalable cloud platforms (AWS, Azure, GCP) and containerized environments (Kubernetes, Docker), enabling effective oversight of infrastructure programs and deployments.

  • Proficient with program execution tools such as Jira (roadmaps, workflows, issue tracking),
    Confluence (documentation, program planning), and metrics generation using spreadsheets, dashboards, or analytics tools to track progress, risks, and KPIs.

  • Capable of translating complex technical details into actionable insights
    , enabling data‑driven decision‑making, forecasting, and stakeholder alignment.

• AI Architecture Knowledge:

  • Experience in designing, deploying, and optimizing AI platforms for training and inference workloads.
  • Familiarity with modern development workflows such as CI/CD pipelines, automation, and performance tuning.

• Soft Skills:

  • Excellent communication and collaboration skills, with the ability to work effectively across technical and non‑technical teams.
  • Strong analytical and problem‑solving abilities.
  • Adept at managing multiple priorities and delivering high‑impact solutions.

• Knowledge of NVIDIA hardware (GPUs, CUDA, Tensor
  
  RT) and familiarity with AI‑focused reference architectures.
• Experience in building and scaling machine learning platforms or frameworks.
• Understanding of AI trends, tools, and advancements…