> Markdown version of [/jobs/ext/3542004-software-engineer-sre-and-production-engineering](https://www.wearedevelopers.com/jobs/ext/3542004-software-engineer-sre-and-production-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, SRE and Production Engineering - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, United States (Remote available) - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Build Automation, Cloud Computing, Data Centers, Software Debugging, Linux, Firmware, Infrastructure as a Service (IaaS), InfiniBand, Python (Programming Language), Octopus Deploy, Software Construction, Hardware Testing, Git Flow, Kubernetes, Information Technology, Bare Metal, Hardware Infrastructure, Network Server - **Published:** September 30, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-sre-and-production-engineering-dgx-cloud-2100-nvidia-usa-10230789 ## About the Role * 5+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience. * Strong Go or Python skills, with a record of delivering production automation and services. * Direct experience with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis. * Practical experience working directly with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs. * Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair. * Experience managing production reliability through on-call duties, incident response, observability, and durable solutions. * Ability to debug failures across hardware, host operating systems, networking, and distributed services. * Clear communication and demonstrated ownership of problems that span multiple teams. * BS/MS in Computer Science or equivalent experience in a practical setting. Ways to stand out from the crowd: * Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered. * Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation. * Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff. * Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation. ## Description NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS. What you'll be doing * Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management. * Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows. * Handle and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs throughout cloud partner and on-premises environments. * Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair. * Define validation and handoff criteria so new capacity enters production safely and consistently. * Take part in on-call duties, incident response, root-cause analysis, and follow-up to implement permanent solutions. * Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. 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