Senior Site Reliability Engineer (GPU & ML Infrastructure)

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Senior Site Reliability Engineer role focused on GPU and ML infrastructure. Responsibilities include building and operating scalable Ray clusters on Kubernetes, developing self-service distributed computing platforms for ML workloads, and optimizing NVIDIA Triton inference platforms. Requires 5+ years experience in backend, SRE, or platform engineering with distributed systems, strong Kubernetes skills, hands-on GPU workload experience, and software engineering skills in C#, Python, or Go. Bonus for experience with distributed ML frameworks, inference serving stacks, GPU scheduling, and cloud-native GPU orchestration. Hybrid work model based in Paris and Grenoble, France. Benefits include hybrid work, career development, health and wellness support, inclusive team environment, competitive salary, and potential equity.