
10,000+ employees
Founded 1993
🏥 Healthcare
🏠Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🏄 California – Remote
đź’µ $168k - $270.3k / year
⏰ Full Time
đźź Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
đź‘» Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago
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10,000+ employees
Founded 1993
🏥 Healthcare
🏠Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Design and build production-grade automation frameworks, workflows, and data models for provisioning, patching, image deployment, telemetry, and change management at large scale • Engage in the complete lifecycle of services from deployment to incident response and long-term reliability improvement • Develop software tools and platforms integrating data center systems, including DCIM, alerting and observability stacks, compute/storage/networking control planes, and CI/CD pipelines • Monitor and handle large-scale GPU and Kubernetes production environments using Grafana, OpenTelemetry, and PagerDuty • Build predictive and auto-healing systems for automated break-fix and self-remediation • Participate in on-call rotations, sustainable incident response, blameless postmortems, and root-cause-focused improvements • Scale systems through automation and self-service tools that improve reliability and engineering velocity • Own the full lifecycle of work from architecture and development through deployment, operations, and continuous improvement
• 6+ years of experience in SRE, production engineering, or infrastructure software engineering supporting large-scale, highly available environments • BS/BTech in Computer Science, Engineering, Physics, Mathematics, or equivalent experience • Strong software development skills with expertise in Python and/or Go • Ability to design, build, and own production-quality tools and services • Deep knowledge of Kubernetes, Linux systems administration, and/or container technologies • Experience handling large-scale bare-metal and cloud infrastructure • Confirmed experience building data center automation tools covering OS provisioning, image deployment, patching, packaging, and configuration management • Experience with CI/CD tooling and infrastructure-as-code workflows • Strong understanding of observability practices: metrics, logging, distributed tracing, and alerting design • Excellent communication skills with the ability to present technical work persuasively across multi-functional teams • Experience with DCIM systems and asset database design and implementation
• Equity • Benefits package • Competitive salary
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