Senior System Software Engineer, EDA Efficiency Infrastructure

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 36 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

As an experienced software engineer on NVIDIA’s telemetry team, you will collaborate closely with internal chip design teams to develop robust observability infrastructure that captures, stores, visualizes, and processes data from complex workflows. Your daily tasks include architecting scalable platforms for real-time monitoring of workload health and performance, maintaining observability tools, and integrating cutting-edge technologies to enhance efficiency in semiconductor engineering. You will need proficiency in Python, databases, containerized applications, and open-source technologies like Kubernetes, alongside experience with EDA workflows and accelerated computing principles. Solid software engineering skills, including OOP and CI/CD methodologies, are essential, as is the ability to communicate effectively in a fast-paced environment where requirements evolve rapidly.

Skills

Python CI/CD Kubernetes Docker Terraform Prometheus Grafana PostgreSQL Redis HTML CSS JavaScript ReactJS VueJS Git Jenkins GitHub AWS EDA workflows C++

What you'll do

  • Transform raw telemetry data into actionable insights for chip development.
  • Design scalable platforms for capturing, storing, and visualizing data from chip build workflows.
  • Maintain observability tools to support evolving chip design processes.
  • Advocate for the integration of new observability tools and frameworks within the organization.
  • Develop custom components for building data pipelines in compute clusters.

What we're looking for

  • Minimum 4+ years of professional experience in observability infrastructure development and management.
  • BS degree in Computer Science or equivalent experience required.
  • Proficiency in Python, databases, containerized applications, and open-source technologies for building data pipelines.
  • Solid understanding of software engineering principles including OOP and CI/CD methodologies.
  • Familiarity with EDA workflows and tools used in the semiconductor industry.
  • Excellent communication skills and ability to adapt in a fast-paced environment.

Market check

Salary context

This $152,000–$241,500 range sits above 71% of similar postings on FindRole.

Peer median band

$126,442–$215,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,450–$210,093

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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