NVIDIA

Solutions Architect, Data Processing

California, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & Hardware, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Candidates should possess a Master’s or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience, along with 4+ years of experience. Programming fluency in C/C++ is required, demonstrating a deep understanding of algorithms and software design. Hands-on experience with low-level parallel programming, such as CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc., is necessary. In-depth expertise in CPU/GPU architecture fundamentals, particularly memory subsystem knowledge, is also required. Domain expertise in high-performance databases, ETL, data analytics, and/or vector databases is essential. Strong communication and organization skills, along with a logical approach to problem-solving and prioritization skills, are needed.

Responsibilities

In this role, the Solutions Architect will research and develop techniques to GPU-accelerate high-performance database, ETL, and data analytics applications. They will work directly with technical experts to perform in-depth analysis and optimization of complex data-intensive workloads, ensuring optimal performance of NVIDIA’s GPU architectures. The Solutions Architect will influence the design of next-generation hardware, software, and programming models in collaboration with various NVIDIA teams. They will also influence partners (industry and academia) to push the boundaries of data processing with NVIDIA’s product line, contributing to the advancement of data processing technologies.

Skills

GPU-accelerated databases
Memory management
Performance optimization
Data analytics
Hardware architecture
Algorithm research
System bottleneck analysis
ETL processes
Data-intensive workload analysis
Programming models

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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