ML Infra - Data Infrastructure

Maven Ventures; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

The Bot Company in San Francisco is seeking a Data Infrastructure Engineer to design and build the data backbone that feeds our autonomous robots. You will own large-scale data processing pipelines and collaborate with ML and Platform teams.

You should be proficient in Python, Go, and C++, with hands-on experience operating production systems handling trillions of events. Knowledge of Kubernetes, cloud networks, and scalable architectures is essential.

Qualifications

• Strong coding ability with Python, Go, and/or C++.
• Experience building production systems that process PBs of data on thousands of machines.
• Experience with cloud networking (performance, reliability, scale, and security).
• Experience serving ML models at scale is a plus, but not required.
• Strong knowledge in Kubernetes clusters is a plus.

Responsibilities

• Design, build, and maintain large-scale data processing systems.
• Collaborate with other functions (e.g. ML, Platform, etc).
• Independently triage and solve complex infrastructure problems across our stack.

Skills

Python

Go

C++

Production data processing

Distributed systems

Cloud concepts

Tools

Kubernetes

Docker

Cloud platforms

Job description

The Bot Company

We're building a helpful robot for every home.

We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.

Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.

What we look for in all candidates

All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:

• Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.

• Engineering curiosity: you naturally dig into how systems work, even outside your specialty.

• High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.

Data Infrastructure Engineer

As an expert in building large-scale data processing systems, you will build the foundation of how our data flows from acquisition to being used to improve the autonomous capabilities of our robots

Requirements

• Strong coding ability, with exceptional familiarity with Python, Go, and/or C++.

• Strong experience building and maintaining production systems that process PBs of data on thousands of machines.

• Experience with cloud networking (performance, reliability, scale, and security).

• Experience serving ML models at scale is a plus, but not required.

• Strong knowledge in Kubernetes clusters is a plus.

What You’ll Do

• Design, build, and maintain large-scale data processing systems.

• Collaborate with other functions (e.g. ML, Platform, etc).

• Independently triage and solve complex infrastructure problems across our stack.

Why Join

You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.