Software Engineer, Inference - Multi Modal

San Francisco, United StatesOn-site

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Responsibilities

- Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs.
- Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities.

About the Team OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms.
experience while pushing the boundaries of what AI can do.
We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities.
- Have worked with GPU-based ML workloads and understand the performance dynamics of large models, especially with complex data like images or audio.
- Have familiarity with inference tooling like vLLM, TensorRT-LLM, or custom model parallel systems.
Experience working with image generation or audio synthesis models in production. - Exposure to distributed ML training or system-efficient model design.
About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence

Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world.
These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research.
About the Role We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale.
You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production.
This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction.
You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text. In this role,
you will: - Design and implement inference infrastructure for large-scale multimodal models.
- Enable experimental research workflows to transition into reliable production services.
- Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers.
- Enjoy experimental, fast-evolving work and collaborating closely with research.