gpu-infrastructure jobs in San Diego

Lead DevOps and MLOps engineering for AI workloads at scale, owning CI/CD/CV pipelines, model-serving infrastructure (Ray, vLLM, Triton, NIM on GPUs), and a full observability stack (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). Design and operate governance systems for AI assets (MLflow, Artifactory, Harbor, Trivy), cost attribution (Apptio, OpenCost, Kubecost), and FinOps controls; ensure every AI workload is delivered repeatably, traced end-to-end, cost-bounded per tenant, and policy-compliant by default.…See more Requires 8+ years in DevOps/MLOps/platform engineering with hands-on production ownership of AI or high-throughput services, and deep expertise in model-serving frameworks and observability tooling.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

Senior Platform Systems Engineer responsible for developing and maintaining validation, characterization, and automation tools for enterprise datacenter and AI infrastructure platforms. The role spans server, storage, networking, and power systems architecture, with hands-on expertise in Linux, scripting (Python, Bash, C), firmware configuration (BIOS, BMC/iDRAC), and high-speed networking (Ethernet, InfiniBand).…See more Requires 8+ years in systems or infrastructure engineering, strong troubleshooting and root-cause analysis capabilities, and demonstrated ability to drive technical decisions across global manufacturing partners and field organizations while supporting regulatory, EMC, and safety compliance.

This role architecting and developing AI and database infrastructure platforms for enterprise and hyperscale datacenters, with system-level design spanning compute, storage, networking, power, and thermal domains. The engineer will lead datacenter power architecture validation, thermal design, and manufacturability; conduct root-cause analysis across hardware, firmware, OS, and infrastructure layers; and develop automation tooling in Bash, Python, and C.…See more The position requires broad systems engineering ownership, cross-functional collaboration, and technical leadership to bring new platform capabilities from prototype to production while ensuring compliance with regulatory and safety standards.

The Software Infrastructure Engineer designs, deploys, and maintains containerized and virtualized infrastructure supporting complex software workloads in DoD and enterprise environments. Responsibilities include managing Kubernetes, Docker, and OpenShift platforms; administering Linux systems and hypervisors; developing automation and configuration management solutions using Python, Bash, Ansible, and Terraform; integrating infrastructure with network dependencies; and troubleshooting across hardware, storage, containers, and hosted services.…See more The role requires 3–5 years of progressive infrastructure or DevOps experience, Security+ certification, and an active DoD Secret clearance.

Senior Platform Systems Engineer role architecting and evolving AI and database infrastructure for enterprise and hyperscale datacenters. Responsibilities span compute, storage, networking, firmware, power, and thermal system design; leading root-cause analysis across hardware, firmware, OS, and network domains; and driving platforms from prototype to production.…See more Requires 8+ years in systems/platform/infrastructure engineering, strong datacenter power systems and thermal design expertise, Linux proficiency, scripting in Python/Bash/C, and hands-on experience with firmware (BIOS/BMC/iDRAC), high-speed networking, enterprise storage, and manufacturing integration.

Senior Platform Systems Engineer responsible for developing validation and automation tools for enterprise datacenter infrastructure, including servers, storage, networking, and high-density AI/GPU systems. The role involves designing platform architecture, managing firmware and BIOS configurations, supporting manufacturing and deployment activities, and ensuring regulatory and EMC compliance.…See more Requires strong systems engineering expertise spanning power systems, Linux, networking, storage technologies, and infrastructure validation, with proficiency in Python, Bash, and C scripting.

Lead system-level design, integration, and validation of AI/GPU and database infrastructure platforms spanning compute, storage, networking, power, and thermal domains. Drive datacenter power architecture, thermal strategies, platform manufacturability, and cross-functional root-cause analysis across hardware, firmware, and systems engineering.…See more Develop validation tools in Python, Bash, or C, and influence platform architecture through technical insight on emerging infrastructure technologies. This is a broad systems engineering role requiring strong judgment operating across multiple engineering disciplines in enterprise and hyperscale environments.

Senior AI Software Engineer responsible for designing, developing, and deploying LLM-powered applications and AI-assisted development workflows within a large-scale enterprise Linux environment (~6M+ LOC, primarily C/C++). Build high-performance GPU-based inference pipelines using vLLM and modern frameworks, develop agentic AI workflows with RAG and tool calling, and integrate LLMs with vector databases and enterprise systems into production.…See more Collaborate across software engineers, AI researchers, and platform teams to productionize AI services while optimizing for performance, latency, scalability, and operational efficiency. Requires 4+ years software development, strong Linux/Red Hat experience, advanced C/C++, Python, LLM/RAG expertise, and GitLab CI/CD workflows.