Full-Time

Senior Software Engineer

Observability and Aiops

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$168k - $322kAnnually

+ Equity

Expert

Company Historically Provides H1B Sponsorship

Remote in USA

Remote work is available for candidates based in the US.

Category
Backend Engineering
Software Engineering
Required Skills
Bash
Python
Data Science
SQL
Machine Learning
Natural Language Processing (NLP)
Data Analysis

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 10+ years of network architecture and automation experience
  • PhD or equivalent experience plus proven track record in architecting and automating large scale enterprise grade networks for several types of organizations
  • Familiarity and hands-on experience with Arista, Fortinet, Juniper, and Mellanox
  • Strong track record of implementing network services in a variety of distributed computing environments
  • Hands-on experience with high performance network and network optimization in highly-available, large-scale, multi-site, international environments
  • Hands-on experience with contributing to tooling and automation for provisioning, monitoring, and managing network infrastructure
  • Must be able to read, write and review automation code (Python, Bash, SQL, etc.)
  • Uses independent judgment & a high level of innovation to set company-level technology strategies & processes to accomplish objectives
  • Must have strong interpersonal and organizational skills, including the ability to meet deadlines, work in a team environment, follow written policies and procedures, and maintain superior customer service at all times
Responsibilities
  • Lead the design, development, testing, and deployment of an AIOps platform
  • Apply machine learning, deep learning, natural language processing, and other AI techniques to solve network operations challenges such as anomaly detection, root cause analysis, incident management, and automation
  • Improve network operations by defining and measuring AIOps metrics such as accuracy, reliability, scalability, performance, and efficiency
  • Experience in implementing observability principles and practices such as monitoring, logging, tracing, and alerting
  • Deep Knowledge in data science engineering such as data collection, data cleaning, data analysis, data modeling, and data visualizations
  • Build services to automate monitoring and triaging activities and provide critical information to facilitate response and resolution of performance issues and incidents
  • Build automation which recognizes, troubleshoots, and analyzes system disruptions and develop solutions for improved reliability
  • Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. Breakdown targeted manual processes into reusable software modules that can be integrated as code

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA differentiates itself from competitors by focusing on technological advancements and a diverse range of applications, including cloud-based services like NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in computing and provide effective solutions for a wide array of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match