Jobs
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.
About the Team
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.
Responsibilities
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Develop and optimize AI runtimes for LLMs, ASR, and MT systems with a focus on performance and cost efficiency.
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Apply GPU-level optimization techniques including CUDA, kernel fusion, and memory throughput improvements.
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Implement inference optimizations such as Torch Compile, graph optimization, KV cache, and continuous batching.
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Build scalable, highly available infrastructure services to support enterprise-grade AI workloads.
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Optimize models for edge devices (laptops, PCs and mobile devices) as well as large-scale cloud deployments.
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Continuously improve latency, throughput, and efficiency across serving pipelines.
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Rapidly integrate and optimize new industry models to stay ahead in AI infrastructure.
What we’re looking for
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Track record of building scalable, reliable AI infrastructure under real-world production constraints.
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Strong expertise in GPU programming and optimization (CUDA, kernel-level development).
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Deep experience with transformer-based models and inference frameworks (vLLM, TensorRT-LLM, SGLang, ONNX Runtime).
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Proficiency in Python and C++ (Java is a plus).
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Hands-on experience with Py Torch (Torch Compile, graph-level optimization) and/or Tensor Flow.
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Knowledge of low-level hardware concepts (GPU memory hierarchy, caching, vectorization).
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Familiarity with cloud platforms (AWS, GCP, Azure) and AI deployment tools (Docker, Kubernetes, MLflow).
Salary Range or On Target Earnings:
Minimum:
$143,000.00
Maximum:
$312,800.00
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.
Ways of Working 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.
Benefits 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. Click Learn for more information.
About Us 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.
Our Commitment
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 to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
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About Zoom

Zoom
PublicZoom Communications, Inc. is an American communications technology company headquartered in San Jose, California, United States. It is primarily known for the videoconferencing application Zoom.
5,001-10,000
Employees
Seattle (WA)
Headquarters
Reviews
3.5
16 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.0
Career
2.5
Management
3.5
Pros
High compensation and competitive offers
Good work-life balance and remote flexibility
Great team environment
Cons
Recent layoffs affecting multiple teams
Stock price decline impacting equity value
Return to office mandates despite remote-first product
Salary Ranges
0 data points
L4
L5
Senior/L5
Staff/L6
L4 ·
0 reports
$218,429
total / year
Base
-
Stock
-
Bonus
-
$185,665
$251,193
Interview Experience
9 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
11%
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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