Distributed Systems Engineer

Sieve develops AI infrastructure focusing primarily on video data intended to help developers spend less time building data infrastructure and computer vision models themselves. Founded in late 2021 by Mokshith Voodarla…

Location: San Francisco, CA
Company size: 5–20
Posted: 1mo ago
Via: Yc

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Job listing · Updated 21 AUG 2026

Distributed Systems Engineer

Sieve· San Francisco, CA, USView company profile

Job title: Distributed Systems Engineer
Job location: San Francisco, CA, US
Job listing URL: https://www.ycombinator.com/companies/sieve/jobs/6UaDNRn-distributed-systems-engineer
Job description: ## About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as [Matrix Partners](https://matrix.vc/), [Swift Ventures](https://www.swift.vc/), [Y Combinator](https://www.ycombinator.com/), and [AI Grant](https://aigrant.com/). ## About the Role As a distributed systems engineer at [Sieve](https://www.sievedata.com/), you’ll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video. You’re likely a good fit if you love optimizing for system uptime, have worked with cloud technologies, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration. ## Requirements - 3+ years of experience building foundational data infrastructure - Proficient in working across diverse cloud architectures - Designed and maintained pipelines that process petabytes of data - Developed robust CI/CD pipelines tailored for ML-focused teams - Strong coding experience with **Go** and **Python;** Experience with **Rust** is a plus - Operates as an IC who leads by example - Experience with large-scale video data systems - In-person at our SF HQ ## **Benefits** - 401k + Full Health Insurance - Breakfast, Lunch, and Dinner covered and your choice of snacks - Ubers covered home

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