Founding Software Engineer, Platform & Infrastructure - DeepFrame - at Infinimind

Location: Palo Alto (Hybrid)

Department: Infinimind

Location Type: HYBRID

Employment Type: FULL_TIME

What DeepFrame is: 

What this role really is: 

• ~75% building the platform - GPU inference and video-processing infrastructure, ingestion and indexing pipelines, search and serving, performance and cost at scale, shipped into the shared DeepFrame codebase with the Tokyo team 
• ~25% with customers - joining technical meetings with the GTM lead, answering integration and security questions, and getting pilots running on the customers own video 

How the US team works:

• Daily with the CTO on the technical side - architecture, priorities, code review, and how US needs land in the core product with the Tokyo engineering team 
• Daily with the CEO on the business side - which customers and pilots matter most, and what we commit to 
• A short daily sync across Palo Alto and Tokyo (late afternoon Pacific / morning Japan), plus a weekly US pipeline and pilot review 
• You report to the CEO. The CTO owns architecture, technical direction, and code review; when commercial and technical priorities conflict, the CEO decides what we commit to a customer, with the CTO owning technical feasibility 

What you will do:

• Build and run GPU infrastructure for video understanding on AWS: model serving, batching, scheduling, and cost per video-hour 
• Scale ingestion and indexing pipelines for large video libraries: decoding, transcoding, frame, audio, and on-screen text processing, embeddings 
• Work on the search and retrieval layer and the APIs customers integrate with 
• Build connectors to where US customers keep video (S3, media asset management systems, camera exports) and to where they want results (APIs, webhooks) 
• Deploy for enterprise customers - SaaS, single-tenant in their AWS account, or on-prem - and own reliability and observability 
• Join customer technical meetings with the GTM lead and turn what you hear into product requirements 

Your first 90 days:

• Day 30 - DeepFrame running in a test AWS environment. First production change merged. A measured view of where our GPU and pipeline costs go. 
• Day 60 - One infrastructure improvement owned end to end (throughput, cost, or reliability). Pilot environment ready for the first US customer. 
• Day 90 - Technical owner of the first US pilot, from data access through first results review. At least one US-driven feature or connector shipped to the core product. 

Must Haves:

• 5+ years building production infrastructure or backend platforms, with real distributed-systems depth 
• Strong Python, plus a systems language (Go, Rust, or C++) 
• GPU workloads in production - you have run and optimized model inference or ML pipelines on cloud GPUs (CUDA, TensorRT, Triton, or similar); AWS preferred; containers and Kubernetes
• Large data or media pipelines - you have moved and processed a lot of data reliably and cheaply
• Can explain technical tradeoffs to a customers engineers in a meeting 
• Authorized to work in the United States by your start date; we do not sponsor visas for this role
• Based in the Bay Area, in person in Palo Alto at least 3 days a week, and able to travel to customers occasionally 

Strong pluses: 

• Video and media processing (ffmpeg, codecs, GStreamer, NVIDIA DeepStream / NVDEC)
• Search infrastructure: vector databases, retrieval, and ranking at scale 
• ML systems: serving foundation models, evaluation pipelines 
• Enterprise deployment: VPC / on-prem installs, SSO, security reviews 
• Worked with a team across time zones, especially Japan; working proficiency in Japanese is a plus, not required