Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
US, CA, Santa Clara
Open 3 months, first seen by us 92 days ago#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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s 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
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
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
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 37.
From 13,079 similar postings that came down, and 99 of Nvidia’s. Coming down is not always a hire.
104 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
Complete your application on nvidia.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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:You will also be eligible for equity and benefits.
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.Selected passages from the saved posting. Check the full description for conditions and exceptions.
#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.
US, CA, Santa Clara
This passage needs a closer read in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.