✦ Luna Orbit — AI & Machine Learning

Software Solutions Engineer - Cloud and Graphics Technologies

at Nvidia

📍 2 Locations Unknown Posted March 13, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years 5+ years
Education BS in Computer Science, Electrical Engineering, Computer Engineering, or related field
Category AI & Machine Learning

About this role

This role involves developing and troubleshooting cloud-native, GPU-accelerated systems for high-performance AI and simulation workloads, focusing on Kubernetes, Slurm, and microservices.

Key Responsibilities

  • Debug multi-tenant clusters
  • Prototype Kubernetes/Slurm features
  • Resolve scheduling issues
  • Integrate GPU capabilities
  • Collaborate on system improvements

Technical Overview

The technical environment includes Kubernetes, Slurm, GPU computing with CUDA, container orchestration, and cloud-native microservices architecture.

Ideal Candidate

The ideal candidate is a mid-level engineer with over 5 years of experience in cloud-native environments, GPU computing, and container orchestration. They excel in troubleshooting complex systems involving Kubernetes, Slurm, and GPU accelerators, with strong communication skills for customer engagement.

Must-Have Skills

5+ years in a customer-facing technical roleExperience developing or troubleshooting 3D graphicssimulation or visualization applications with Python or C++Deep understanding of cloud-native architectures (containersKubernetesmicroservices)Experience with GPU computing (CUDA)Strong communication skills

Nice-to-Have Skills

contributions to KubernetesSlurmVolcanoexperience with GPU accelerators (Blackwell/GB200/GB300)experience with cloud platformsDevOps practicesobservability tools

Tools & Platforms

KubernetesSlurmHelmAnsibleTerraformPrometheusOpenTelemetryGitHub ActionsTekton

Required Skills

PythonC++KubernetesK8sSlurmcontainer orchestrationcloud-native architecturesGPU computingCUDAmicroservices

Hard Skills

PythonC++KubernetesK8sSlurmcontainer orchestrationcloud-native architecturesGPU computingCUDAmicroservices

Soft Skills

communicationproblem-solvingcustomer engagementcollaborationanalytical skills

Industry & Role

Industry Technology
Job Function Cloud-native system engineering for AI/ML datacenters

Keywords for Your Resume

PythonC++KubernetesK8sSlurmcloud-native architecturesGPU computingCUDAmicroservicescontainer orchestrationDevOpsobservabilityGitHub ActionsTerraformOpenTelemetrycontributions to KubernetesGPU accelerators

Deal Breakers

Less than 5 years of relevant experience, Lack of experience with Kubernetes or Slurm, No experience with GPU computing or CUDA

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