Inference Engineer, Robotics

OpenAI; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI's robotics team seeks a GPU Inference Engineer in San Francisco to advance model serving efficiency and inference performance. You will drive system optimizations, build serving infrastructure, and partner with researchers to scale multimodal workloads.

Ideal candidates combine deep expertise in inference optimization and low-level data movement with a collaborative approach to extending AI capabilities for real-world robotic applications. This role is hybrid with relocation assistance.

Qualifications

• Deep expertise in model performance optimization, particularly at the inference layer.
• Strong background in kernel-level systems, data movement, and low-level performance tuning.
• Experience scaling AI systems that handle multimodal workloads.
• Ability to navigate ambiguity, set technical direction, and drive complex initiatives.

Responsibilities

• 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 Robotics growth and reliability needs.

Skills

Model performance optimization

Kernel-level systems

Data movement

Multimodal workloads

CUDA

Python

C/C++

Tools

CUDA

TensorRT

Job description

About the Team

Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives.

About the Role

We're looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for our Robotics research. 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 Robotics 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

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