At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
As an Infrastructure Engineer at TwelveLabs, you will design and build the core infrastructure that allows our AI SaaS platform to operate stably and scale effectively. You will work across both cloud and on-premise environments, developing robust system architectures to support large-scale video AI foundation models. In our fast-paced startup environment, you will optimize for performance, security, and flexibility while collaborating closely with multiple teams across the company.
Design and operate multi-tenant architectures for global enterprise customers.
Develop scalable CI/CD pipelines with Terraform automation.
Build flexible infrastructure spanning AWS, GCP, Azure, and on-premise environments.
Optimize cloud infrastructure for security and efficiency with advanced monitoring and security frameworks.
Design scalable architectures to rapidly support new video AI models and services.
Collaborate with PMs, engineers, and researchers to bring AI products to life.
Required Experience
10+ years of experience as an infrastructure engineer.
Experience building and operating infrastructure in cloud environments such as AWS, GCP, and Azure.
Hands-on experience with IaC (Infrastructure as Code) tools such as Terraform or Ansible.
Experience operating container-based workloads with Kubernetes.
Scripting and automation experience with languages such as Python, Go, or TypeScript.
Experience designing and operating CI/CD pipelines.
Preferred Qualifications:
Experience designing and operating multi-tenant architectures in enterprise SaaS environments.
Experience designing infrastructure architectures aligned with security and compliance standards, including audit support.
Experience building advanced monitoring and logging systems.
Proven ability to operate infrastructure optimized for both performance and cost efficiency.
Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
🤝 An open and inclusive culture and work environment.
🧑💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
🦷 Full health, dental, and vision benefits.
✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
🛂 VISA support (such as H1B and OPT transfer for US employees).
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