mid Software Engineer ic 5+ yrs · Posted Feb 6, 2025
$295,000 – $555,000
USD per year

About this role

OpenAI is hiring a mid-level Software Engineer based in San Francisco, CA. The posting calls out experience with Azure, CUDA, PyTorch, Distributed Systems and roughly 5+ years of relevant work. Compensation is listed at $295,000–$555,000 per year.

Role
Software Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
San Francisco, CA
Experience
5+ years
Department
Scaling
Posted
Feb 6, 2025
AI Summary
Optimize OpenAI's large AI models for high-volume, low-latency production inference. Work with ML researchers and engineers to improve model performance, throughput, and efficiency on Azure infrastructure. Requires 5+ years software engineering experience, deep knowledge of PyTorch, NVIDIA GPUs, CUDA, and distributed systems architecture.

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Job description

from OpenAI careers

About the Team

Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. 

About the Role

We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.

In this role, you will:

  • Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.

  • Work alongside researchers to enable advanced research through awesome engineering.

  • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.

  • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

  • Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.

You might thrive in this role if you:

This is an excerpt. Read the full job description on OpenAI careers →
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