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Nvidia

OR · Hybrid

$54.50 - $72/hr

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.

Tbb Inc

PT - 50/50 Raffle Seller

Tampa, FL

The Tampa Bay Buccaneers vision is to be the premier NFL Franchise both on and off the field that sets the standard in global sports entertainment and embodies the spirit of Tampa Bay. The Buccaneers ...

Nvidia

OR · On-site

CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc. * In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem. * Domain expertise in high performance databases ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

Parallel programming (OpenMP, TBB, or MPI) Job Type:Experienced Hire Shift:Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:US, California, Santa Clara ...

Intel

Senior AI Algorithm Engineer in oneDNN

Santa Clara, CA · On-site +1

$195K - $275K/yr

Parallel programming (OpenMP, TBB, or MPI) Job Type:Experienced Hire Shift:Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:US, California, Santa Clara ...

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Infographic showing various job openings at Tbb in the United States as of May 2026, with employment types broken down into 100% Temporary. Highlights an 100% Physical job distribution.
Senior Developer Technology Engineer, High-Performance Databases

Senior Developer Technology Engineer, High-Performance Databases

Nvidia

OR • Hybrid

$54.50 - $72/hr

Full-time

Posted 7 days ago

Job description

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

Would you enjoyresearching new algorithms and memory management techniques to accelerate databases on modern computer architectures?Do you likeinvestigating hardware and systembottlenecks, 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.

Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today's applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that our Devtech team have worked on:NVIDIA nvcomp,NVIDIA Distributed join,NVIDIA cuCollections.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 March 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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