
Artificial Intelligence • Gaming • Automotive
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.
7 hours ago
🏄 California – Remote
🌲 North Carolina – Remote
+2 more states
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Artificial Intelligence • Gaming • Automotive
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.
• Collaborate with HW, and SW engineering teams to deliver observability solutions that meet their needs in EDA clusters. • Develop, test, and deploy data collectors, pipelines, visualization and retrieval services. • Define data collection and retention policies to balance network bandwidth, system load, and storage capacity costs with data analysis requirements. • Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency. • Continuously improve quality, workloads, and processes through better observability.
• Experience developing large scale, distributed observability systems. • Ability to collaborate with data scientists, researchers, and engineering teams to identify high value data for collection and analysis. • Experience with turning raw data into actionable reports. • Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools. • Python programming experience and use of API calls. • Passion for improving the productivity of others. • Excellent planning and interpersonal skills. • Flexibility/adaptability working in a dynamic environment with changing requirements. • MS (preferred) or BS in Computer Science, Electrical Engineering, or related field or equivalent experience. • 8+ years of proven experience.
• Equity • Benefits
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