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Systems Data Engineer

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology to transform industries.
$120,000 - $235,750
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

Description For Systems Data Engineer

NVIDIA is seeking a talented Systems Data Engineer to join their team working on datacenter applications. This role offers an exciting opportunity to contribute to cutting-edge advancements in artificial intelligence and GPU computing. The position involves analyzing large-scale system design using machine learning for GPU accelerated clusters, working with the latest Accelerated computing and Deep Learning platforms.

The role requires a strong background in data analysis and machine learning, with 4+ years of experience and a degree in Engineering, Mathematics, Physics, or Computer Science. You'll be working with cutting-edge hardware and software solutions, collaborating with OS specialists, container technologies experts, and GPU compute professionals to optimize performance and develop new solutions.

NVIDIA, widely recognized as one of the technology world's most desirable employers, offers a comprehensive benefits package including health care, dental, vision, 401(k) with company matching, ESPP, and various types of paid leave. The position offers competitive compensation with a base salary range of $120,000 - $235,750 depending on level and experience.

This is an excellent opportunity for someone passionate about large-scale datacenter development who wants to work with cutting-edge technology at a company that's leading the way in AI and accelerated computing. The role combines technical expertise with analytical skills, offering the chance to make significant contributions to NVIDIA's innovative technology solutions.

Last updated 6 days ago

Responsibilities For Systems Data Engineer

  • Work with team on large scale datacenter development and deployment
  • Analyze large scale workloads and search for application and infrastructure improvement opportunities
  • Provide actionable insights on high dimensional data
  • Research and analyze data, identify trends, link changes to events
  • Apply machine learning techniques for classification and prediction
  • Document work and related materials
  • Communicate findings with team members

Requirements For Systems Data Engineer

Python
JavaScript
Linux
  • 4+ years of experience debugging and analyzing data
  • BS or MS in Engineering, Mathematics, Physics, or Computer Science
  • Strong programming skills in Python and Javascript
  • Experience with telemetry tools (Grafana, ElasticSearch, Splunk)
  • Understanding of core machine learning techniques
  • Fast and self-learning capabilities
  • Strong analytical and problem-solving skills
  • Strong teamwork and interpersonal skills

Benefits For Systems Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Health care coverage
  • Dental and vision insurance
  • 401(K) with company matching
  • Employee Stock Purchase Program (ESPP)
  • Employee Assistance Program (EAP)
  • Paid holidays
  • Paid sick leave
  • Vacation leave
  • Professional time off
  • Life and disability protection

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