Software Engineer: Infrastructure

Generalist AI Inc.; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Generalist AI, Inc. is seeking an experienced Infrastructure Engineer to own the cloud stack for processing petabytes of robotics data. You’ll manage CPU/GPU compute and the storage layer, ensuring scalable, secure data handling.

You’ll work with Kubernetes, Terraform, and Python across AWS environments, focusing on cost-effective, high-throughput pipelines and robust security practices.

Qualifications

• 5+ years of experience managing high-scale cloud infrastructure.
• Proficient with Kubernetes, Terraform, and AWS.
• Experience with data processing pipelines in cloud environments.

Responsibilities

• Manage compute resources (CPU and GPU) for petabyte-scale data processing.
• Oversee infrastructure to store and process petabytes of data.
• Maintain security posture of infrastructure and data.
• Collaborate with teams to optimize cloud infrastructure.

Skills

Kubernetes

Terraform

Python

AWS

Cloud security

Tools

Terraform

Kubernetes

Job description

At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.

We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2 , Gemini Robotics ), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots ( Atlas , Spot , Stretch ) and pushed the limits of what they can do (from parkour to manipulation , and testing robustness ).

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

About the Role

This role broadly owns infrastructure across the stack. If it’s running in the cloud, you probably care about it. The life blood of robotics is data, and we need high scale infrastructure to manage, store, and process petabytes of this data. Our APIs, services, and monitoring systems depend on the infrastructure you’ll be managing.

You’ll be responsible for:

The compute (both CPU and GPU compute) that’s required to cost effectively process petabytes of data at high throughput

The infrastructure required to process and store petabytes of data

Maintaining the security posture of our infrastructure and data

You might thrive in this role if you:

Have at least 5 years of experience managing high scale cloud infrastructure via tools like Kubernetes, and Terraform. Our services are predominantly in Python

Strong familiarity with AWS services (or their cloud equivalents), and their permission models

Strong opinions on how to properly use coding agents in an infrastructure setting