11 months ago
Responsibilities
- Architect massive multi-GPU inference pipelines for foundation-scale video models while optimizing throughput, cost, and reliability.
- Build cloud upload integrations with AWS S3, GCP Storage, and Azure Blob Storage using signed URLs and resumable uploads.
- Design event-driven, autoscaling distributed processing systems for analyzing terabytes of video data in parallel.
- Develop and maintain the NomadicML Python SDK for programmatic video ingestion, analysis, and search.
- Build logging, tracing, and metrics pipelines for GPU utilization, job latency, and per-video inference health.
- Support web application Cloud Integrations and Project Workflows through backend endpoints and TypeScript SDK bindings.
- Collaborate with ML researchers to productionize models and automate deployment and scaling.
Requirements
- Deep proficiency in Python, Go, or TypeScript for backend systems.
- Experience with AWS, GCP, or Azure, including IAM, S3 or Blob Storage, and batch or compute APIs.
- Strong understanding of GPU inference scaling, Kubernetes, container orchestration, and event-driven pipelines.
- Experience designing REST or gRPC APIs, SDKs, or developer-facing infrastructure.
- Familiarity with asynchronous job orchestration using Ray, Airflow, Dagster, or Temporal.
- Experience contributing to inference orchestration frameworks or ML infrastructure tools such as DeepSpeed, Triton, or Ray Serve is preferred.
- Understanding of video encoding, chunking, and streaming formats for efficient multimodal ingestion is preferred.
- Basic frontend experience with React or Next.js is preferred.
- Background in ML infrastructure, observability, or data management systems is preferred.
Tech Stack
Categories
About Pear VC
Pear VC is an early-stage venture capital partnership that invests at pre-seed and seed, pairing capital with hands-on support, mentorship, and programs like its PearX accelerator for founding teams. Founded in 2013 and headquartered in Menlo Park, California, it backs software and technology startups across categories. Its portfolio includes companies that reached the public markets, such as DoorDash and Guardant Health.