NVIDIA
Senior Software Architect, Observability Platform
NVIDIA, Hillsboro, Oregon, United States, 97104
Senior Software Architect, Observability Platform
Join NVIDIA's Infrastructure organization as a Senior Software Architect for our Observability Platform to architect and implement distributed observability systems for data centers enabling EDA workflows. You will collaborate with NVIDIA’s HW and SW engineering teams to build systems for data collection, aggregation, enrichment, storage, retrieval, and visualization to improve efficiency, performance, and productivity of EDA workloads.
What You’ll Be Doing
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 engineers and researchers to improve performance, productivity, and efficiency.
Continuously improve quality, workloads, and processes through better observability.
What We Need To See
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 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.
Ways To Stand Out From The Crowd
Background in computer science, EDA software, open-source software, infrastructure technologies, and GPU technology.
Prior experience in infrastructure software, production application software development, release and support methodology, and DevOps.
Experience in the management of datacenters and large-scale distributed computing.
Experience working with EDA developers.
Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end.
Base salary ranges: Level 4: $184,000 - $287,500; Level 5: $224,000 - $356,500. Eligible for equity and benefits.
Applications will be accepted until December 13, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What You’ll Be Doing
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 engineers and researchers to improve performance, productivity, and efficiency.
Continuously improve quality, workloads, and processes through better observability.
What We Need To See
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 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.
Ways To Stand Out From The Crowd
Background in computer science, EDA software, open-source software, infrastructure technologies, and GPU technology.
Prior experience in infrastructure software, production application software development, release and support methodology, and DevOps.
Experience in the management of datacenters and large-scale distributed computing.
Experience working with EDA developers.
Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end.
Base salary ranges: Level 4: $184,000 - $287,500; Level 5: $224,000 - $356,500. Eligible for equity and benefits.
Applications will be accepted until December 13, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#J-18808-Ljbffr