[Remote] Senior Solutions Architect, Data Processing at NVIDIA

California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, High-Performance ComputingIndustries

Requirements

Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience
8+ years of 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 (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc
In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem
Domain expertise in high performance databases, ETL, data analytics and/or vector database
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, ETL and data analytics 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
Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line

Skills

Key technologies and capabilities for this role

C/C++GPU accelerationdatabasesETLdata analyticshigh-performance computingmemory managementalgorithmsparallel computingsystem optimization

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Solutions Architect role?

A Masters or PhD in Computer Science, Computer Engineering, or related field is required, along with 8+ years of experience.

What key technical skills are needed for this position?

Programming fluency in C/C++ with deep understanding of algorithms and software design is required, plus hands-on experience with low-level parallel programming like CUDA, and in-depth expertise in CPU/GPU architecture, especially memory subsystem, and high performance databases, ETL, data analytics.

What soft skills are important for this role?

Good communication and organization skills are needed, along with a logical approach to problem solving and prioritization skills.

What experience would make me stand out as a candidate?

Experience optimizing database operators or query planners for parallel frameworks like Spark, optimizing vector database indexes, profiling CUDA kernels, or working with compression, storage systems, networking, and distributed architectures would help you stand out.

Is this a remote position, or does it require working in an office?

This information is not specified in the job description.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free