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Inference Technical Lead, Sora

OpenAI

San Francisco, USremote country$380k/yrPosted Apr 21, 2025

At a glance

Highlights

  • Hybrid work model (3 days in office)
  • Relocation assistance
  • High-impact role scaling AI inference

Why this role might suit you

A candidate with deep expertise in GPU inference, kernel-level systems, and performance tuning will thrive leading high‑impact optimizations for multimodal AI models in a hybrid, well‑resourced environment.

Skills

gpumodel-servinginference-optimizationkernel-developmentdata-movementlow-level-performance-tuningcudapythonc++linux

About the role

About the Team

The Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.

About the Role

We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for Sora. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models.

This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation.

In this role you will:

- Perform engineering efforts focused on improving model serving, inference performance, and system efficiency

- Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability

- Partner closely with research and product teams to ensure our models perform effectively at scale

- Design, build, and improve critical serving infrastructure to support Sora’s growth and reliability needs

You might thrive in this role if you:

- Have deep expertise in model performance optimization, particularly at the inference layer

- Have a strong background in kernel-level systems, data movement, and low-level performance tuning

- Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads

- Can navigate ambiguity, set technical direction, and drive complex initiatives to completion

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

This Engineering Manager role pays $380k/yr. Within typical range for engineering manager roles in United States.

Questions about this role

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