Senior Developer Technology Engineer, High-Performance Databases at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

C/C++CUDAOpenACCOpenMPMPIpthreadsTBBGPU architecturememory subsystemhigh performance databasesETLdata analytics

Questions & Answers

Common questions about this position

What is the base salary for this position?

Your base salary will be determined based on your location, experience, and the pay of employees.

Is this role remote or hybrid?

This is a hybrid role.

What are the required qualifications and skills for this role?

A Masters or PhD in Computer Science, Computer Engineering, or related field (or equivalent), at least 5+ years of relevant experience, programming fluency in C/C++ with deep understanding of algorithms and software design, hands-on experience with low-level parallel programming like CUDA, OpenACC, etc., expertise in CPU/GPU architecture especially memory subsystem, and domain expertise in high performance databases, ETL, and data analytics are required.

What does the team work on at NVIDIA?

The Developer Technology Team researches new algorithms and memory management techniques to accelerate databases on modern architectures, investigates hardware and system bottlenecks, optimizes data intensive applications, and influences next-generation hardware and software designs.

What experience will make me stand out for this role?

Experience optimizing distributed database systems and frameworks like production databases or Spark, and background with compression, storage systems, networking, and distributed computer architectures will help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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