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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Support Engineer - **Company:** Lambda Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $122,000.0 - $162,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Clusters, Profiling, Nvidia CUDA, Continuous Integration, Software Debugging, Linux, Ethernet, InfiniBand, Interoperability, Virtual Private Networks (VPN), Linux System Administration, Log Analysis, Machine Learning, Remote Direct Memory Access, Ansible, Prometheus, TCP/IP, AI Infrastructure, Datadog, Data Logging, Graphics Processing Unit (GPU), Cloud Platform System, High Performance Computing, Computer Network Technologies, Grafana, Firewalls (Computer Science), Kubernetes, Infrastructure Automation Frameworks, Slurm, Terraform, Docker - **Published:** August 1, 2026 - **Apply:** https://jobs.ashbyhq.com/lambda/83e77f46-c393-47ae-83ed-db4b0daf6e18 ## About the Role * 3+ years of hands-on HPC experience in an administration, support, or engineering role. * Very strong understanding and experience supporting Linux in a system administration role. * Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestration. * Strong coding ability and CI/CD experience, with a track record of using AI-assisted tools to move fast. * Proficiency with monitoring/logging tools (Prometheus, Grafana, Datadog). * Strong skills in log analysis, debugging kernel-level issues, and performance profiling. * Experience with CUDA, NCCL, NVLink, GPUDirect RDMA. * Experience with high throughput networking technologies(IB/RoCE). * Knowledge of distributed AI/ML or HPC workloads. * Knowledge of TCP/IP, VPN, and firewalls in cloud environments. * Ability to work independently and mentor junior support engineers. Nice to Have * Experience with virtualization and container (Docker, Kubernetes) technologies. * Experience with neoclouds/GPU cloud providers. * Flexible availability for potential shifts outside of normal working hours/weekends. * Experience with high performance storage systems. * Familiarity with infrastructure-as-code tools (Terraform, Ansible, etc.) * Experience with Nvidia GPUs and Infiniband. ## Description * Serve as a senior technical escalation point, troubleshooting the hardest infrastructure and platform issues down to the hardware, driver, or kernel level when needed * Quickly and accurately distinguish between hardware failures, driver issues, kernel-level problems, and customer workload misconfiguration, so issues get resolved correctly the first time * Proactively identify process, tooling, and documentation gaps, and go fix them, not just wait for them to be assigned * Use AI tools effectively to build scripts, automations, or small internal tools that close real operational gaps (no professional development background required) * Perform root-cause analysis across distributed systems, clusters, and GPU infrastructure * Craft clear documentation of solutions and contribute to evolving support procedures * Collaborate closely with engineering teams to turn recurring customer pain points into permanent fixes * Take escalations from peers while training and mentoring them in the process * Participate in a rotating on-call schedule, owning major incidents and major customer issues * Be ready to roll up your sleeves and pitch in wherever needed, especially during fast, high-volume deployments, Primary point-of-contact for a customer, providing on-site and remote HPC, Ethernet, and AI infrastructure support. Troubleshoot Linux systems, networking protocols, and interoperability; reproduce and resolve complex issues; collaborate with engineering, marketing, and support; document support methodologies and improve processes. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## 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) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-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) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)