AI Software Engineer

Overview

AI Software Engineer. What you can expect:
The AI Infra team at Zoom is dedicated to building a world-class inference infrastructure that powers all of Zoom’s AI services. Our mission is to deliver high efficiency, scalability, and cost optimization across a wide range of AI applications, including large language models (LLM), vision-language models (VLM), automatic speech recognition (ASR), and machine translation. We focus on creating a seamless collaboration between small and large models, ensuring cost-effective, privacy-preserving, and high-quality AI services for our customers.

As an AI Software Engineer on Zoom’s AI Infra team, you will design, optimize, and scale the runtimes and services that power our AI models. Your work will directly improve efficiency, reduce latency, and lower costs across Zoom’s AI stack, ensuring reliable, high-performance AI experiences for millions of users.

• Develop and optimize AI runtimes for LLMs, ASR, and MT systems with a focus on performance and cost efficiency.
• Apply GPU-level optimization techniques including CUDA, kernel fusion, and memory throughput improvements.
• Implement inference optimizations such as Torch Compile, graph optimization, KV cache, and continuous batching.
• Build scalable, highly available infrastructure services to support enterprise-grade AI workloads.
• Optimize models for edge devices (laptops, PCs and mobile devices) as well as large-scale cloud deployments.
• Continuously improve latency, throughput, and efficiency across serving pipelines.
• Rapidly integrate and optimize new industry models to stay ahead in AI infrastructure.

• Track record of building scalable, reliable AI infrastructure under real-world production constraints.
• Strong expertise in GPU programming and optimization (CUDA, kernel-level development).
• Deep experience with transformer-based models and inference frameworks (vLLM, Tensor
  
  RT-LLM, SGLang, ONNX Runtime).
• Proficiency in Python and C++ (Java is a plus).
• Hands-on experience with PyTorch (Torch Compile, graph-level optimization) and/or Tensor Flow.
• Knowledge of low-level hardware concepts (GPU memory hierarchy, caching, vectorization).
• Familiarity with cloud platforms (AWS, GCP, Azure) and AI deployment tools (Docker, Kubernetes, MLflow).

• Minimum: $
• Maximum: $

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value.

Note:

Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations.

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Learn more for additional information.

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind.

Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here…