Design and implement end-to-end integrations of Grove with open-source AI frameworks (e.g., Dynamo, llm-d, Ray, PyTorch, and related ecosystem projects)
Build and maintain adapters, plugins, operators, and/or runtime components that enable Grove features to work smoothly across training and inference stacks
Partner with framework owners to upstream changes, contribute patches, and ensure long-term maintainability of integrations
Develop reference workflows, sample apps, and best-practice guides that accelerate adoption by users and partners
Optimize performance, scalability, and reliability for distributed training/inference, including multi-node and multi-GPU environments
Improve observability and operational readiness (metrics, logging, tracing, debugging tools) for Kubernetes-based deployments
Participate in technical design reviews, define APIs/contracts, and ensure compatibility across versions of frameworks and dependencies
Diagnose complex issues spanning containers, networking, scheduling, CUDA/GPU utilization, and framework runtime behavior.

Requirements

BS/MS/PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience)
5+ years of proven experience in related field
Hands-on experience integrating with at least one major AI framework/runtime (e.g., PyTorch, Ray, Triton Inference Server ecosystem, distributed runtimes, model serving stacks)
Solid understanding of AI workloads: model development basics, training vs. inference tradeoffs, and performance considerations (throughput/latency, batching, memory)
Experience with distributed systems concepts (RPC, scheduling, fault tolerance, resource management)
Practical Kubernetes experience: deploying and operating services/jobs, Helm/Kustomize, operators/controllers (nice to have), and debugging clusters
Familiarity with containers and cloud-native tooling (Docker, container registries, CI/CD pipelines)
Strong software engineering experience in Go, C++ and/or Python, with a track record of shipping reliable systems
Strong interpersonal skills and ability to collaborate across teams and with open-source communities
Exceptional collaboration, communication, and documentation habits.

Benefits

equity
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Applicant Tracking System Keywords

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Hard Skills & Tools

AI frameworksPyTorchRayGoC++PythonKubernetesDockerdistributed systemsmodel serving

Soft Skills

interpersonal skillscollaborationcommunicationdocumentation

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in Electrical EngineeringMS in Electrical EngineeringPhD in Electrical Engineering