Top Remote Infrastructure Engineer Jobs

Build and operate security controls, telemetry, detections, and enforcement for NVIDIA’s large-scale EDA compute, storage, and networking infrastructure across on-premises and multi-cloud environments. Investigate threats, respond to incidents, automate secure configurations and compliance evidence, threat-model infrastructure, and manage security technology lifecycles. The role requires hands-on Linux, networking, programming, infrastructure security, and collaboration with infrastructure and security teams.

Lead technology strategy and system architecture for next-generation wireless infrastructure. Apply AI/ML to RAN (L1/L2+) and transform core to agentic AI-based packet core. Prototype GPU-accelerated algorithms, engage partners and standards bodies, and drive performance optimizations and new edge applications (ISAC, SemCom, Physical AI).

Design, build, and maintain infrastructure software for large-scale AI training and inference. Improve efficiency, resiliency, availability, observability, and reliability across distributed AI systems. Develop APIs and tools, analyze failures from application through hardware levels, define reliability metrics, and support NVIDIA AI platforms. The role requires expertise in distributed systems, monitoring, debugging, software engineering practices, and AI infrastructure, with preferred experience in large clusters, RDMA stacks, telemetry, and deep learning frameworks.

The role involves researching, designing, and implementing advanced storage solutions for HPC workloads, optimizing for performance, cost, and scalability across cloud infrastructures, while automating management processes and providing support for deep learning workflows.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.

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.

Provide onsite and remote technical support for NVIDIA Ethernet and AI infrastructure, troubleshoot Linux-based systems, debug networking and interoperability issues, collaborate with engineering and marketing, document support methodologies, and act as primary customer contact, spending at least one week per month onsite.

Lead alignment of NVIDIAcompiler codebases with open-source projects, build tooling and workflows to improve developer productivity, automate rebasing/patch management and apply AI-assisted workflows, while partnering with architecture and CI teams to scale changes across NVIDIA.

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Build and scale infrastructure for post-training open-weight language models, including distributed training, reinforcement learning rollouts, agent environments, evaluation systems, experiment tracking, and model serving. Own performance, reliability, GPU utilization, checkpointing, failure recovery, observability, and production integration. Partner closely with researchers to turn experimental workflows into dependable systems and accelerate development of legal AI capabilities.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Lead a DevOps infrastructure automation project migrating configurations from Chef to Ansible. Develop and maintain Ansible automation using Python, with potential use of AI coding tools. Chef experience and prior Chef-to-Ansible migration experience are preferred.

Owns enterprise VDI platforms across Citrix, Azure Virtual Desktop, and Omnissa Horizon. Responsibilities include image and catalog lifecycle management, profile and session troubleshooting, access-layer administration, incident leadership, capacity planning, automation, root cause analysis, change management, project delivery, client communication, and mentoring. The role requires deep expertise in at least one VDI platform, Windows administration, underlying compute and networking, scripting, APIs, and multi-client managed services experience.

Operates and maintains enterprise virtualization platforms across multiple client environments. Responsibilities include VMware Cloud Foundation, NSX, ESXi, vCenter, vSAN, capacity planning, performance troubleshooting, lifecycle management, incident leadership, automation, migrations, root cause analysis, change management, documentation, and client communication. The role also supports KVM and Hyper-V environments, leads virtualization projects, and mentors junior engineers.

Leads the infrastructure and backend engineering function supporting mobile games, analytics systems, internal products, APIs, and web services. Owns AWS architecture, reliability, security, monitoring, automation, CI/CD, cost optimization, Snowflake data infrastructure, high-volume event pipelines, backend services, game servers, and technical roadmaps. Provides hands-on architecture, implementation, code review, technical leadership, cross-functional collaboration, and end-to-end project ownership.

Build and maintain full-stack software for connected products and internal applications. Responsibilities include developing Node.js and TypeScript backend services, React web applications, AWS cloud infrastructure, IoT and OTA update services, PostgreSQL data systems, automated tests, and CI/CD pipelines. The role also involves troubleshooting across applications and infrastructure, making architectural decisions, and collaborating with engineers to deliver reliable software.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Lead cross-functional teams in designing, building, configuring, and documenting highly available Windows and cloud infrastructure solutions. Develop automation scripts and Infrastructure as Code deployments, implement applications and containers, and support configuration management, disaster recovery, and CI/CD processes. Serve as the primary infrastructure liaison for business and operations teams, providing technical leadership, customer collaboration, requirements management, and operational documentation throughout project delivery.

Leads the design, implementation, automation, and documentation of highly available Windows and cloud infrastructure solutions. Responsibilities include infrastructure architecture, system builds, application and container deployment, scripting, configuration management, disaster recovery, technical project leadership, and collaboration with developers, vendors, operations teams, and business stakeholders.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Operate and improve Microsoft Azure and hybrid infrastructure across compute, storage, networking, monitoring, identity, backup, and disaster recovery. Own infrastructure incidents, troubleshoot complex issues, deliver changes and patching, monitor performance and security, and implement sustainable operational improvements. Partner with technology, security, and engineering teams to automate, standardize, document, and secure infrastructure services. Provide occasional desktop support to the Austin team.

Build and maintain CI/CD pipelines, containerized applications, and cloud infrastructure. Automate provisioning and deployments, monitor system health and performance, troubleshoot infrastructure issues, and improve platform reliability. Implement security controls, access management, observability, and infrastructure-as-code practices while supporting scalable distributed systems and developer infrastructure.