Senior Developer Technology Engineer, High-Performance Databases

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Eligibility for equity

Comprehensive benefits package

Job summary

NVIDIA Gruppe seeks a Senior Developer Technology Engineer in Santa Clara to drive GPU-acceleration innovations for high-performance databases. This role involves researching memory management techniques and optimizing data-intensive applications for modern architectures.

Candidates should have a Master's or PhD in a relevant field, 5+ years of experience, and fluency in C/C++. Opportunities include equity and competitive benefits in a diverse work environment.

Qualifications

• A Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree.
• At least 5+ years of relevant work or research experience.
• Good communication and organization skills with a logical approach to problem solving.

Responsibilities

• Research and develop techniques to GPU-accelerate high performance database and ETL applications.
• Work directly with technical experts to optimize complex data intensive workloads.
• Influence the design of next-generation hardware architectures.

Skills

Programming fluency in C/C++

Deep understanding of algorithms and software design

Hands-on experience with low-level parallel programming

In-depth expertise with CPU/GPU architecture fundamentals

Domain expertise in high performance databases

Good communication and organization skills

Education

Masters or PhD in Computer Science or related field

Tools

CUDA

OpenACC

OpenMP

MPI

pthreads

TBB

Job description

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?

Responsibilities

• 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.

Qualifications

• 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.

Compensation & Benefits

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 Level3, and 184,000 USD – 287,500 USD for Level4. You will also be eligible for equity and benefits.

EEO Statement

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.