GPU Systems Engineer at Tower Research Capital · LumiJobs

Qualification

Bachelor’s degree in Computer ScienceExperience with Python packagingExperience with artifact repositoriesExperience with cloudTroubleshooting C++ buildModernizing legacy build systemsImproving build reproducibilityBuilding internal developer portals

Required

Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
7+ years of hands-on engineering experience building, operating, or improving software delivery, platform, infrastructure, CI/CD, DevOps, SRE, or developer productivity systems.
Strong Linux systems knowledge and troubleshooting skills.
Strong understanding of software build systems, especially for large C++ codebases; experience with CMake, Ninja, Bazel, Buck2, or similar tools.
Experience with Python packaging, dependency management, and environment management tools such as pip, conda, uv, pixi, or similar.
Experience building and operating CI/CD platforms, including pipeline design, build/test automation, artifact promotion, secrets handling, and failure diagnosis.
Experience with artifact repositories, binary/package distribution, and artifact lifecycle management using tools such as Artifactory, Nexus, Harbor, or similar.
Experience with infrastructure automation and configuration management tools such as Terraform, Ansible, or similar.
Experience with containerization technologies such as Docker or Podman; familiarity with orchestration platforms such as Kubernetes, Nomad, ECS, or similar.
Experience with cloud, hybrid, or on-premises infrastructure environments; AWS, GCP, Azure, or private infrastructure experience preferred.
Proficiency in Python and shell scripting.
Experience with Git and collaborative development workflows.

Preferred

Troubleshooting C++ build, linkage, dependency, ABI, compiler, linker, and toolchain issues in large codebases.
Modernizing legacy build systems.
Improving build reproducibility, reducing build times, or introducing remote caching / remote execution.
Designing reproducible Python environments and internal package distribution workflows.
Observability platforms such as Prometheus, Grafana, OpenTelemetry, OpenSearch, or similar.
Workflow orchestration technologies such as Airflow.
Familiarity with GitOps deployment methodologies.
Building internal developer portals, self-service workflows, or paved-road developer platforms.

GPU Systems Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Tower Research Capital

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