Software Engineer, Platform & Infrastructure - DeepFrame Engineering English Japanese , not

Position: Software Engineer, Platform & Infrastructure - DeepFrame Engineering   English (required); Japanese a plus, not
# Software Engineer, Platform & Infrastructure - Deep Frame You  will build and run the infrastructure behind our video platform, shipping it with engineers across our team.

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Location:

San Francisco / Palo Alto, CA

Employment type:

Full-time Location type:
Hybrid Department:
Engineering Apply Now Learn more about Infini Mind## About the role

You will build and run the GPU inference, video-processing, ingestion, indexing, and search infrastructure behind the platform, and ship it with engineers across our team. You will own reliability and observability, join customer technical meetings, and help get customer video onto the platform.## What you'll do
* Build and run GPU inference and video-processing infrastructure on AWS
* Scale ingestion and indexing pipelines for large video libraries
* Work on the search and retrieval layer and the APIs customers integrate with
* Build connectors to customer video sources (S3, cloud storage, video archives) and result destinations (APIs, webhooks)
* Own reliability and observability, and join customer technical meetings to help get customer video onto the platform## Who thrives here
* 5+ years building production infrastructure or backend platforms, with real distributed-systems depth
* Strong Python, plus Go, Rust, or C++
* GPU workloads in production, for example CUDA, TensorRT, or Triton
* Large data or media pipelines run reliably
* Can explain technical tradeoffs to a customer's engineers## Nice to have
* AWS, containers, and Kubernetes
* Video processing, vector search, ML serving, or enterprise deployment## Your first 3 months
* Learn the ingestion, indexing, and search layers and the codebase you will ship into
* Join customer technical meetings and help get customer video onto the platform
* Take ownership of reliability and observability for the inference and video-processing services## By 6 months
* Build connectors to customer video sources, such as S3, cloud storage, or video archives
* Scale ingestion and indexing pipelines for large video libraries
* Work on the search and retrieval layer and the APIs that customers integrate with## Backgrounds that could fit
* Backend or platform engineer who has run production services at scale
* ML infrastructure or model-serving engineer
* Computer vision or video-processing engineer who has worked on large media pipelines
* Search or retrieval engineer who has shipped APIs that customers integrate with
* Infrastructure engineer who has run GPU workloads in production## Location In person in San Francisco or Palo Alto at least 3 days a week, with some customer travel. Based in the Bay Area, or willing to relocate before your start date.##

To apply

Email your resume or Linked In profile and a short note or link on a system you built to talent.## Equal opportunity

Infini

Mind Inc. is an equal opportunity employer. We consider qualified applicants regardless of race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, marital status, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, age, or any other characteristic protected by applicable law. We consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act.

We provide reasonable accommodations during the hiring process; to request one, email talent. You must be authorized to work in the United States without employer sponsorship, now or in the future.## How we hire

From first conversation to offer, we keep the process short.
1. 01   ### Casual conversation   Email your resume or Linked In profile and a short note. We then hold a 30-minute conversation about the role and what you'd be working on.2. 02   ### Technical interview   A walkthrough of your past work. No take-home assignment.
3. 03   ### Founder conversation and offer   A direct conversation with the founders, followed by reference checks and an offer.