ML Infra - Data Infrastructure
maven venturesMillbrae (CA)
ML Infra - Data Infrastructure
Posted yesterday
maven venturesMillbrae (CA)
Computer Systems Engineers/ArchitectsComputing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
SENIORITY
Lead
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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