Technical Staff Member, Backend

Job not on LinkedIn

October 29

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

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Pear VC

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B2B • Fintech • Artificial Intelligence

Pear VC is a venture capital firm specializing in pre-seed and seed investments. With a focus on supporting early-stage founders, Pear VC provides tailored services such as fundraising preparation, go-to-market strategies, and talent recruitment. The firm has a strong track record of backing companies valued at over $170 billion and is dedicated to building a community for entrepreneurs through initiatives like the Female Founder Circles and Pear Studio, offering resources and networking opportunities for founders in the tech industry.

11 - 50 employees

Founded 2013

🤝 B2B

💳 Fintech

🤖 Artificial Intelligence

📋 Description

• You’ll build and scale the backbone that powers NomadicML’s video intelligence platform — from secure cloud ingestion to distributed GPU inference pipelines. • Collaborate with ML researchers to productionize their models, automate deployment and scaling, and expose those capabilities through clean APIs and SDKs. • Architect pipelines to run massive multi-GPU inference jobs on foundation-scale video models. • Build direct integrations with cloud storage platforms to support large-scale ingest. • Design event-driven, autoscaling job systems using Kubernetes, Pub/Sub, or Ray. • Power the NomadicML Python SDK used for programmatic video ingestion, analysis, and search. • Build logging, tracing, and metrics pipelines for GPU utilization, job latency, and per-video inference health. • Support the web app’s Cloud Integrations and Project Workflows through backend endpoints and TypeScript SDK bindings.

🎯 Requirements

• Deep proficiency in Python, Go, or TypeScript for backend systems. • Experience with AWS, GCP, or Azure (IAM, S3/Blob Storage, Batch/Compute APIs, etc.). • Strong understanding of GPU inference scaling, Kubernetes, container orchestration, and event-driven pipelines. • Prior experience designing REST/gRPC APIs, SDKs, or developer-facing infrastructure. • Familiarity with asynchronous job orchestration (Ray, Airflow, Dagster, Temporal). • A practical mindset: you take research-grade systems and make them reliable, fast, and usable.