Software Engineer: Infrastructure

Generalist; Medford Hillside (MA); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Generalist is seeking an experienced infrastructure leader to own and scale our cloud stack for robotics data. You will optimize compute (CPU/GPU), storage, and data pipelines across petabytes of data, while maintaining strong security.

You should have 5+ years in large-scale cloud infra, hands-on experience with Kubernetes, Terraform, and AWS, and a preference for Python services in a fast-moving AI environment.

Formación

• 5+ years managing high-scale cloud infrastructure.
• Experience with Kubernetes and Terraform.
• Python services most common in our stack.

Responsabilidades

• Manage compute and storage for petabytes of data.
• Maintain security posture of infrastructure and data.
• Ensure cost-effective, high-throughput data processing.

Conocimientos

Kubernetes

Terraform

Python

Cloud infrastructure

Herramientas

AWS

Descripción del empleo

About Generalist

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