Work on design and implementation of scalable software systems to manage NVIDIA's accelerated compute cloud infrastructure, including network and systems automation, APIs, data persistence, and secure communications. Requires 12+ years designing and building distributed software systems, proficiency in systems programming languages (C, C++, Go, or Rust), experience with SQL-like persistence, asynchronous programming, threading and state machines, and understanding of secure protocols (mutual-TLS, IPsec). Preferred experience includes hyperscale cloud providers, networking protocols (IP, IPv6, BGP, VXLAN, Geneve, GRE), host management (DHCP, Redfish, UEFI), host security (TPM, TXT, SecureBoot), Kubernetes, distributed scheduling, and SRE practices.

Ownership of management plane capabilities (cluster lifecycle, node management, fleet health), architect and implement Kubernetes controllers/operators/CRDs in Go, drive automated provisioning across bare metal/virtual/cloud, improve performance/reliability/security, own test strategy and CI/CD, and mentor engineers. Requires 8+ years software engineering experience, strong systems language skills (Go/C++/Rust/Java), deep Kubernetes and distributed systems knowledge, and Linux fundamentals.

Role involves end-to-end ownership of cloud SDN control and data plane software, virtual network orchestration, observability, CI/CD, and production operations. Requires 15+ years of software development experience, expert knowledge of OVS/OVN/OpenFlow, strong C and Go skills, Kubernetes/CNI experience, and hands-on experience with infrastructure-as-code and observability tooling.

NVIDIA seeks a Senior NCX/DSX engineer to provide hands-on technical support and implementation for AI workloads across NCP, DGX Cloud, and major CSPs. Responsibilities include building and deploying distributed training and inference solutions, profiling and tuning workloads, implementing observability and SLO/SLA monitoring, and producing runbooks and integration guides. Requires 8+ years in customer-facing technical roles and strong expertise in Linux, Kubernetes, containers, GPU scheduling, Python/Go, and ML frameworks such as PyTorch or TensorFlow.

Role to design and implement cluster readiness and certification systems (controllers, operators, CLIs, scheduler integrations) for GPU clusters, build benchmarking and provenance pipelines, integrate platforms and fabrics, and contribute to open-source Cluster Readiness Engine. Requires 8+ years software engineering experience and strong Go/Python and Kubernetes knowledge.

NVIDIA seeks a Senior System Software Engineer (8+ years) to design, optimize, and maintain Slurm components written in C, debug reliability/performance issues, collaborate with Ops/Infrastructure teams, and provide direct support to internal or external customers. Role emphasizes Linux systems programming, system administration, performance profiling, and automated testing.

Hybrid/remote role to maintain, improve, and optimize Slurm components written in C; debug and fix complex reliability and performance issues; collaborate with Operations, Infrastructure, and Deployment; provide technical support to internal teams or customers; and develop automated tests. Requires 5+ years of professional C development, strong Linux systems programming knowledge (kernel interfaces, system calls, file systems), experience with debugging and profiling (e.g., GDB), familiarity with containers and GPU technologies, and a Bachelor’s degree in CS/Engineering or equivalent.

Work on automation and lifecycle management of GPU assets across cloud providers and data centers, implement monitoring and health management, harness hardware and cluster telemetry, build test infrastructure, and partner across engineering to integrate software with NVIDIA hardware. Requires 12+ years of experience, expert-level systems programming (Go/Python/Rust), strong Linux administration, and deep knowledge of container orchestration (Kubernetes/SLURM) and distributed systems.

Hands-on technical leadership role to design, build, and operate large-scale data acquisition systems (web crawling, ingestion, and pipelines) for foundation-model training. Requires extensive experience in distributed systems, crawl infrastructure, data ingestion, observability, and cross-team coordination; based in Switzerland with remote option.

Seeking a senior software developer to design, implement, and maintain automated deployments and integration among components of a Kubernetes-based stack powering NVIDIA DGX Cloud. Requires 8+ years of software development experience on Linux, strong Python skills, experience with Kubernetes/container technologies, Git and CI/CD, and familiarity with Linux networking and security. Preferred: C++, shell scripting, and experience with scalable distributed systems.

NVIDIA seeks a Senior Software Engineer (8+ years) to build and operate accelerated compute cloud services managing hardware, network provisioning and multi-tenant infrastructure. Role involves designing scalable systems, writing services in languages like C/C++/Golang/Rust, API design, persistence (SQL), secure communication (mutual-TLS/IPsec), networking protocols, host management, and participating in open-source communities. Location: UK (remote).

NVIDIA seeks a Senior SRE to design, build, and operate automation frameworks, observability platforms, and infrastructure-as-code pipelines supporting large-scale GPU cloud and data center systems. Requires 6+ years in SRE/production engineering, strong software development (Python/Go), deep Kubernetes and Linux knowledge, and experience with CI/CD, DCIM, provisioning, and incident response.

NVIDIA seeks a senior engineering manager to grow a team that supports internal engineers adopting AI/HPC clusters. Responsibilities include developing onboarding and training, owning request intake and prioritization, coordinating deep-debug investigations with specialized teams, and converting recurring issues into reusable guidance and self-service improvements. Requires 8+ years in HPC/AI infrastructure or large-scale Linux environments and 5+ years of technical leadership.

Hands-on technical leadership role to architect and scale systems for source discovery, crawl frontiers, distributed fetching, and ingestion of open-web, licensed, and partner content for model pretraining. Requires 15+ years in software engineering, deep experience with web crawling or related ingestion infrastructure, and strong skills in distributed systems, observability, and data governance.

Work on NVIDIA's Telemetry Platform to build durable, real-time services that ingest, validate, and route telemetry from millions of users. Requires 7+ years building production backend services, deep expertise in modern Java (17+) and Spring Boot, experience with Kafka, Docker, Kubernetes and cloud platforms (e.g., AWS), plus fluent English.

Hands-on individual contributor role responsible for designing, shipping, and owning security controls and telemetry for EDA clusters. Responsibilities include protecting long-running, high-value compute jobs, instrumenting and collecting signals into SIEM, building detections and dashboards, investigating and remediating infrastructure threats, and automating secure configuration via infrastructure-as-code and policy-as-code. Requires 8+ years of infrastructure or infrastructure-security engineering experience, strong Linux depth, programming/scripting (Python, Go, or shell), and solid foundations in access control, authentication, segmentation, encryption, and vulnerability lifecycle. Remote locations listed across the US.

NVIDIA is hiring a Senior Systems Software Engineer for the Apache Spark Acceleration group to build and operate a hosted Spark service (Java/Scala) on Kubernetes, package the cuDF Spark plugin, and extend the CPU/GPU workload router. The role involves production incident investigation, instrumentation, on-call rotation, and collaboration with upstream projects; requires 9+ years' software development experience and proficiency in Java or Scala plus C++ or Python. Expected base salary range: 184,000–287,500 USD per year.

Join the HW Infrastructure Storage Strategy team to design and execute POCs for enterprise/HPC storage platforms, analyze how storage affects EDA/HPC workload runtimes, define observability metrics, and support datacenter lifecycle programs. The role requires hands-on experience with large-scale NFS/networked storage on Linux, scripting (Python/Bash), cloud storage solutions, and telemetry/monitoring systems.

Role partners with Isaac Sim developers, QA, and infrastructure teams to design, develop, and operate CI/CD pipelines, GPU-enabled test environments on-premises and in cloud, automated testing integration, artifact/version management, logging and alerts, and failure diagnosis across OS, containers, GPU drivers, and simulation runtimes. Requires 5+ years of relevant DevOps/infrastructure/build-and-release experience.

Join NVIDIA Hardware Infrastructure to design and implement scalable distributed storage management systems. Role involves collaborating with hardware and software teams, developing in Perl and Python, optimizing workflows, and applying storage concepts (volumes, snapshots, clones, deduplication). Requires Linux development experience and 5+ years of relevant experience; MS preferred. Salary ranges provided by location and level.