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Senior Developer Technology Engineer, High-Performance Databases

Pay
Multiple pay amounts — pay source
#LI-Hybrid Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Research and develop techniques to GPU-accelerate database and ETL applications

  • Analyze and optimize complex data-intensive workloads on current GPU architectures

  • Work with external technical experts from industry and academia

  • Influence next-generation hardware, software, and programming models

From the employer’s posting
research and develop techniques to GPU-accelerate high performance database and ETL applications
perform in-depth analysis and optimization of complex data intensive workloads
Work directly with other technical experts in their fields (industry and academia)
Influence the design of next-generation hardware architectures, software, and programming models
Education & alternatives
What we need to see: - A Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). - At least 5+ years of relevant work or research experience.
Apply at Nvidia

Posting record

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Open 3 monthsWe first saw this posting 92 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 11, 202692 days ago
Recorded sightings
190
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 92

Up longer than most. Similar jobs usually come down between day 6 and day 55.

Well past Nvidia’s usual: its jobs come down by about day 39.

From 13,214 similar postings that came down, and 100 of Nvidia’s. Coming down is not always a hire.

Nvidia is hiring

104 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C
  • Spark
  • C++
Where the posting names them
- At least 5+ years of relevant work or research experience. - Programming fluency in C/C++ with a deep understanding of algorithms and software design. - Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
Ways to stand out from the crowd: - Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark). - Background with compression, storage systems, networking, and distributed computer architectures.

Your next step

Complete your application on nvidia.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About Nvidia

People
About 42,000 in 2026, up 17% from the year before.Annual report (SEC Form 10-K)
Company
Listed as NVDA.
H-1B visas
978 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

NVIDIA is currently seeking a Senior Developer Technology Engineer for High-Performance Databases!

Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the leading edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Developer Technology Team invites you to consider this opportunity.

 

What you will be doing:

  • In this role, you will research and develop techniques to GPU-accelerate high performance database and ETL applications.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures. 

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA

 

What we need to see: 

  • A Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • At least 5+ years of relevant work or research experience.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software design.

  • Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.

  • In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.

  • Domain expertise in high performance databases, ETL and data analytics 

  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark).

  • Background with compression, storage systems, networking, and distributed computer architectures.

The DevTech Engineer plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs or at relevant conferences and workshops. With insight to our customers, the industry, and academia we are important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations. Whether you are a leading industry luminary or early in your career, the Developer Technology Team provides ample opportunity for growth in the exciting field of GPU-accelerated computing!

#LI-Hybrid 

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Source details

View original posting ↗

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Pay
#LI-Hybrid Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Location & working pattern

US, CA, Santa Clara

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