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Senior Data Processing Platform Engineer

Our technology has no boundaries! NVIDIA is creating the world’s most groundbreaking and innovative compute platforms for the world to use! It’s because of our work that data engineers and data scientists can advance their ideas. We are looking for individuals to develop a data processing and ML platform for data scientists to use.

As a data processing platform engineer, you will design, implement and operate Kubernetes based GPU accelerated data processing service at scale, with high availability and reliability. You will lead and encourage adoption of the data processing service, your work should improve time to first query (TTFQ) metrics, drive platform engagement metrics, and come up with innovative solutions that blends with pioneering Nvidia's enterprise scale data science platform.

What you’ll be doing:

  • Optimize distributed computing infrastructure by analyzing cost and right sizing for latency and performance

  • Identify KPIs and instrument metrics tracking for dashboards and alerting

  • Enhancing and maintaining a robust scale, reliable, real-time data processing service

  • Train data engineers, data scientists and production engineers how to adopt data processing workflows

  • Participate in on-call rotation, run-book implementation and continuous process improvement

What we need to see:

  • Experience architecting, developing and deploying large-scale distributed systems at scale

  • Strong Kubernetes experience on-premise and/or CSP, developing containerized microservices

  • Hands on experience in the performance tuning/troubleshooting Spark applications

  • Experience with distributed systems, databases, and big data systems like Ray, Spark Rapids

  • Familiarity with metrics collection, health monitoring, and observability tools

  • Building, operating and maintaining full stack software deployments coupled with excellent software programming skills

  • Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience.

  • A minimum of 5yrs experience with a background in software engineering and math

Ways to stand out from the crowd:

  • Prior data processing at scale on Nvidia GPUs

  • Experience with CUDA and/or using Nvidia GPUs for ML/DL

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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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Average salary estimate

$217750 / YEARLY (est.)
min
max
$148000K
$287500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.

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CULTURE VALUES
Customer-Centric
Mission Driven
Inclusive & Diverse
Rise from Within
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Child Care stipend
Paternity Leave
WFH Reimbursements
Flex-Friendly
Dental Insurance
Vision Insurance
Life insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Military leave
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, unknown
DATE POSTED
June 27, 2025

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