Staff AI Engineer - Zoom AI Services Platform
About The Position
You’ll design, build, and own the platform that powers Zoom AI Services, enabling AI capabilities to be delivered as scalable cloud services for both Zoom products and external developers. You’ll work across API design, distributed systems, cloud infrastructure, and AI platform engineering to build reliable, high-performance services that power speech, translation, summarization, reasoning, and future AI capabilities at production scale. You will join the Zoom AI Services team responsible for building Zoom’s unified AI platform. The team develops the cloud platform, APIs, and infrastructure that enable AI capabilities to be shared across Zoom products while exposing the same services to enterprise customers and developers. We work closely with AI modeling teams, Zoom Cloud Platform, and product engineering teams to deliver scalable, reliable, and cost-efficient AI services.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- 8+ years of software engineering experience building distributed systems, cloud platforms, or large-scale backend services.
- Experience building and operating production AI services such as Speech Recognition (ASR), Machine Translation (MT), LLM applications, AI Agents, Search, Document Intelligence, Computer Vision, or similar AI-powered cloud services.
- Strong experience designing and operating large-scale cloud services, including microservices, service-oriented architectures, and multi-tenant platforms.
- Experience designing developer-facing APIs, SDKs, or cloud platform services with a strong API-first mindset.
- Strong understanding of Kubernetes, containers, distributed systems, networking, and cloud-native technologies.
- Experience building highly available, scalable, and observable production systems running at cloud scale.
- Experience working with AI infrastructure, including model serving, AI inference platforms, GPU/CPU resource management, or ML infrastructure.
- Strong programming skills in Go, Java, C++, Python, or similar languages.
- Excellent system design, technical leadership, and cross-functional collaboration skills, with the ability to drive architecture across multiple engineering teams.
Nice To Haves
- Experience with one or more major cloud platforms (AWS, Azure, or GCP).
- Experience optimizing large-scale AI workloads for performance, scalability, reliability, or cost.
- Experience contributing to AI platforms serving both internal products and external developers.
- Experience with open-source AI infrastructure such as Kubernetes, Istio, vLLM, Triton, SGLang, Ray, or similar technologies.
Responsibilities
- Design and build large-scale cloud services powering Zoom AI APIs and developer platform.
- Design reusable APIs, service abstractions, and platform components for AI capabilities.
- Build distributed systems supporting synchronous, asynchronous, and streaming AI workloads.
- Improve scalability, reliability, observability, and operational efficiency of AI services.
- Design scheduling, resource management, and workload orchestration for large-scale CPU and GPU infrastructure.
- Partner closely with AI modeling, platform, and product teams to onboard new AI capabilities onto the Zoom AI Services platform.
- Drive technical architecture and engineering best practices across the team.
Benefits
- Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
- Location based compensation structure.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
