✦ Luna Orbit — Software Engineering

Software Engineer (SWE/SWE II), AI Platform- Slack

at Salesforce

📍 4 Locations Unknown 💰 $117K – $223K USD / year Posted March 13, 2026
Salary $117K – $223K USD / year
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Software Engineering

This role focuses on developing and maintaining Slack's AI platform and ML infrastructure, enabling scalable AI and ML capabilities across the organization.

  • Develop ML infrastructure
  • Build AI platform tools
  • Manage scalable ML systems
  • Optimize model deployment
  • Ensure system reliability

The technical environment includes Kubernetes, GPU infrastructure, distributed ML systems, and tools like KubeRay and vLLM for model training, deployment, and inference.

The ideal candidate is a software engineer with expertise in ML infrastructure, scalable AI platform development, and experience working with Kubernetes and GPU systems. They are innovative problem solvers with a focus on large-scale ML deployment.

Experience with ML infrastructureKnowledge of AI platform developmentExperience with KubernetesExperience with GPU infrastructureExperience in scalable ML systems
Experience with distributed systemsExperience with large-scale model deploymentExperience with real-time feature serving
KubernetesKubeRayvLLMGPU infrastructure
Machine LearningML InfrastructureAI PlatformKubeRayvLLMKubernetesGPU InfrastructureModel TrainingModel DeploymentInferenceMonitoring
Machine LearningML InfrastructureAI PlatformKubeRayvLLMKubernetesGPU InfrastructureModel TrainingModel DeploymentInferenceMonitoring
CollaborationProblem SolvingInnovationTechnical Communication
Industry SaaS
Job Function Design and operate scalable ML infrastructure and AI platform components for Slack.
Machine LearningML InfrastructureAI PlatformKubeRayvLLMKubernetesGPU InfrastructureModel TrainingModel DeploymentInferenceMonitoring

Lack of experience with ML infrastructure, No knowledge of Kubernetes or GPU infrastructure, No experience with scalable ML systems

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