{"schemaVersion":"jobsearcher.job.v1","id":"c262d0c904c3bfc182bd84f0","url":"https://jobsearcher.com/jobs/c262d0c904c3bfc182bd84f0","canonicalUrl":"https://jobsearcher.com/jobs/c262d0c904c3bfc182bd84f0","title":"Software Engineer — AI Infrastructure","description":"Tech Stack: Python / Go / C· AI & ML systems · Data center networkingContract engagement with an AI startup · 6–12 months · Option to convert to full-timeWhat You'll DoBuild and ship production software in Python, Go, or C for AI infrastructure and platform services.Work alongside AI/ML engineers to take models and pipelines from prototype into reliable, deployable systems.Own CI/CD for your code — build, test, release automation, and the pipelines that keep it repeatable.Instrument and debug systems end to end, including performance behavior on GPU and data center networking infrastructure.Operate with startup ownership: small team, broad scope, direct accountability for what you deliver.Must-Have3–5 years of professional software development in Python, Go, or C (at least one at a strong, production level).Working knowledge of AI/ML development — how models are trained, served, and integrated into applications.Hands-on CI/CD experience (GitHub Actions, GitLab CI, Jenkins, or equivalent), including automated testing and release pipelines.Comfortable in Linux environments, containers, and git-based workflows.Able to work independently in an early-stage environment with limited process and shifting priorities.PreferredData center networking domain experience — switching/routing, fabric design, RDMA/RoCE, InfiniBand, or high-performance interconnects.NVIDIA AI software stack: CUDA, NCCL, DOCA, cuDNN, Triton Inference Server, or NVIDIA networking libraries.MLOps experience — model deployment, versioning, monitoring, and retraining workflows.Strong Match (Bonus)Open-source framework depth with PostgreSQL.Test framework design and automation at scale.Streaming telemetry — gNMI/gRPC, OpenConfig, Kafka, or similar high-volume metrics pipelines.","company":"Elantis","rawCompany":"elantis","city":"Pleasanton","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-17T08:08:05.685Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer — AI Infrastructure","description":"Tech Stack: Python / Go / C· AI & ML systems · Data center networkingContract engagement with an AI startup · 6–12 months · Option to convert to full-timeWhat You'll DoBuild and ship production software in Python, Go, or C for AI infrastructure and platform services.Work alongside AI/ML engineers to take models and pipelines from prototype into reliable, deployable systems.Own CI/CD for your code — build, test, release automation, and the pipelines that keep it repeatable.Instrument and debug systems end to end, including performance behavior on GPU and data center networking infrastructure.Operate with startup ownership: small team, broad scope, direct accountability for what you deliver.Must-Have3–5 years of professional software development in Python, Go, or C (at least one at a strong, production level).Working knowledge of AI/ML development — how models are trained, served, and integrated into applications.Hands-on CI/CD experience (GitHub Actions, GitLab CI, Jenkins, or equivalent), including automated testing and release pipelines.Comfortable in Linux environments, containers, and git-based workflows.Able to work independently in an early-stage environment with limited process and shifting priorities.PreferredData center networking domain experience — switching/routing, fabric design, RDMA/RoCE, InfiniBand, or high-performance interconnects.NVIDIA AI software stack: CUDA, NCCL, DOCA, cuDNN, Triton Inference Server, or NVIDIA networking libraries.MLOps experience — model deployment, versioning, monitoring, and retraining workflows.Strong Match (Bonus)Open-source framework depth with PostgreSQL.Test framework design and automation at scale.Streaming telemetry — gNMI/gRPC, OpenConfig, Kafka, or similar high-volume metrics pipelines.","datePosted":"2026-09-17T08:08:05.685Z","dateModified":"2026-09-17T08:08:05.685Z","hiringOrganization":{"@type":"Organization","name":"Elantis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pleasanton","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c262d0c904c3bfc182bd84f0"},"url":"https://jobsearcher.com/jobs/c262d0c904c3bfc182bd84f0"}}