Pear VC
Member of Technical Staff, Backend - NomadicML
San Francisco · Staff+
Sponsorship not specifiedDetected 266 days ago
TypeScriptPythonGoReactNext.jsDistributed SystemsSnowflakeAWSGCPAzureKubernetesTemporalRESTgRPCMachine LearningAirflowAI OrchestrationSystems EngineeringRoboticsResearch
About the role
- This role blends systems engineering, distributed compute orchestration, and developer experience.
- You'll be working across cloud storage, inference scheduling, GPU clusters, and the NomadicML SDK.
- GPU Inference Workflows: Architect pipelines to run massive multi-GPU inference jobs on foundation-scale video models, optimizing for throughput, cost, and reliability.
Responsibilities
- Design event-driven, autoscaling job systems using Kubernetes, Pub/Sub, or Ray for analyzing terabytes of video data in parallel.
- You'll collaborate with ML researchers to productionize their models, automate deployment and scaling, and expose those capabilities through clean APIs and SDKs used by enterprises worldwide.
- Distributed Processing Pipelines: Design event-driven, autoscaling job systems using Kubernetes, Pub/Sub, or Ray for analyzing terabytes of video data in parallel.
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.
- Familiarity with asynchronous job orchestration (Ray, Airflow, Dagster, Temporal).
Nice to have
- Experience contributing to inference orchestration frameworks or ML infra tools (e.g., DeepSpeed, Triton, Ray Serve).
- Understanding of video encoding, chunking, and streaming formats for efficient multi-modal ingestion.
- Basic front-end experience (React / Next.js) for integrating backend pipelines into product workflows.
- Background in ML infrastructure, observability, or data management systems.
Benefits
- Build logging, tracing, and metrics pipelines that surface GPU utilization, job latency, and per-video inference health.
Company info
- Power the NomadicML Python SDK used for programmatic video ingestion, analysis, and search - the core tool researchers and customers rely on.
- Developer SDKs and APIs: Power the NomadicML Python SDK used for programmatic video ingestion, analysis, and search - the core tool researchers and customers rely on.
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