Senior Infrastructure Software Engineer, TensorRT Edge-LLM

Experteer Overview In this role you will architect and maintain scalable infrastructure to support TensorRT Edge-LLM, enabling faster development, build, and test cycles across NVIDIA’s edge AI platforms. You’ll work with cross-functional teams to optimize CI/CD, tooling, and deployment across diverse environments, from autonomous vehicle to robotics hardware. You’ll shape the DevOps landscape for a rapidly growing compute software portfolio, driving reliability and security at scale. This is a hands-on opportunity to impact development velocity and platform resilience in edge AI. Compensation / Benefits * Build and maintain foundational infrastructure for TensorRT Edge-LLM * Maintain and optimize CI/CD pipelines to streamline build, test, and deployment * Configure and extend deployments of tools (CMake, GitLab, GitHub Actions, Kubernetes, Docker) * Develop across the software stack from UX to cluster layers * Monitor and tune CI/CD reliability on embedded and desktop CPU/GPU systems * Enable vulnerability management and CVE handling for infrastructure components Tasks * 7+ years of proven experience * Strong Python (or similar) and modern C/C++ development * Experience setting up, maintaining, and automating CI systems (Jenkins, GitHub Actions, GitLab CI) * Experience administering, monitoring, and deploying systems on GitHub and cloud platforms (AWS, GCP, Azure) * Fluency in SCM (Git, Perforce) and build systems (CMake, Make, Bazel) Key requirements * base salary * equity * benefits * hybrid work

_ * Enable vulnerability management and CVE handling for infrastructure components Tasks * 7+ years of proven experience * Strong Python (or similar) and modern C/C++ development * Experience setting up, maintaining, and automating CI systems (Jenkins, GitHub Actions, GitLab CI) * Experience administering, monitoring, and deploying systems on GitHub and cloud platforms (AWS, GCP, Azure) * Fluency in SCM (Git, Perforce) and build systems (CMake, Make, Bazel) Key requirements * base salary * equity * benefits * hybrid work