Deployment Engineer

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Deployment Engineer in USA new

Sieve
Full time
Email

USA
11/12/2026
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San Francisco, CA

Responsibilities

Launch and scale hardware and data-collection deployments across different countries.
Set up camera rigs, local infrastructure, software systems, and reliable data-upload workflows.
Write code, debug unfamiliar systems, and ship practical solutions quickly.
Work with site partners, engineers, and local operators to resolve deployment issues.
Train local engineers and build local technical teams through candidate identification, interviewing, and onboarding.
Turn field learnings into better software, deployment tools, and repeatable launch processes.
Support local operations as needed to get sites running.

Requirements

Strong computer science fundamentals through a CS degree or equivalent practical experience.
Software engineering ability with evidence of independently building and shipping practical solutions; a couple of years of experience is preferred, while exceptional recent graduates are welcome.
Ability to work across software, hardware, networking, and data uploads and learn unfamiliar systems quickly.
Strong communication and interpersonal skills for working with site partners and training people with varying technical experience.
Ability to take ambiguous goals, determine required actions, and follow through independently.
Based in San Francisco and willing to spend 75%–85% of the time traveling globally.
Preferred experience includes cameras, embedded systems, Linux, networking, large data transfers, hiring or onboarding technical teams, international project launches, early-stage startups, or multiple languages.

Benefits

401(k) and full health insurance.
Breakfast, lunch, dinner, and snacks covered.
Ubers home covered.
Based in San Francisco with 75%–85% global travel required.

Salary: $150k - $225k/yr

Sieve

Sieve builds datasets and infrastructure for training video AI models, combining large-scale video processing with novel video understanding techniques. Its tools support ML teams working on media, gaming, AR/VR, and robotics by supplying high-quality video training data and pipelines. Founded in...

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