TripleLift
Accountant
Detroit, United States; New York, US•4 months ago
$75K – $95K
accountingpayrollcompensation
Engineering4 months agoHybrid
Criteo
Senior Site Reliability Engineer (ML Platform & GPU Infrastructure)
site reliability engineeringSREGPUmachine learningML platformKubernetesRayNvidia Tritondistributed computinginference servingC#PythonGocloud-nativeGKEEKSDevOpsautomationobservability
Key details
Salary
Not specified
Employment type
Permanent Full Time
Seniority
Senior
Years experience
5-10
Location
Grenoble, France; Paris, France
Full job description
Senior Site Reliability Engineer role focused on building and operating GPU-powered services for machine learning workloads. Responsibilities include managing Ray clusters on Kubernetes, optimizing Nvidia Triton inference servers, and collaborating with ML and infrastructure teams. Requires 5+ years experience in backend engineering, SRE or DevOps, strong Kubernetes skills, GPU workload experience, and programming skills in C#, Python, or Go. Bonus for knowledge of distributed computing frameworks, Nvidia Triton, TensorRT, and cloud-native GPU orchestration. Hybrid work model in Paris or Grenoble.
What you'll do
- Build and operate GPU-powered services for machine learning workloads
- Manage on-demand provisioning of Ray clusters on Kubernetes for scalable distributed computing
- Design, maintain, and monitor ray-as-a-service systems
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