Senior Solutions Architect at NVIDIA

Hong Kong, Hong Kong

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance Computing, Higher EducationIndustries

Requirements

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
5+ years of hands-on experience, primarily with Machine Learning and Deep Learning software architecture and frameworks
Excellent programming skills in rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus
Experience with NVIDIA GPUs and software libraries, working with engineering or research community
Expertise with deep learning frameworks such as PyTorch
Excellent knowledge of the theory and practice of Generative AI and Large Language Models
Strong problem-solving and debugging skills
Excellent presentation, communication, and collaboration skills
Strong written and oral communication skills in English
Ways to stand out
Good knowledge of NVIDIA’s DOCA technology
Excellent knowledge of Efficient, Lower-Precision AI Training
Experience working with academia and the government
Experience with parallel programming and distributed computing platforms
Good track record of research publications

Responsibilities

Partnering with engineering, product, and business teams, understanding their strategies and technical needs, and helping define high-value solutions
Supporting Higher Education and Research customers and driving research/influencing/new business in those customers and academic collaborations
Dynamically engaging with developers, scientific researchers, and data scientists, which will give you experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Leading project collaboration on NVIDIA DOCA DPU

Skills

Key technologies and capabilities for this role

PythonC++CUDAMachine LearningDeep LearningHPCGenerative AIParallel ProgrammingNVIDIA DOCA DPU

Questions & Answers

Common questions about this position

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

A BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience) is required, along with 5+ years of hands-on experience primarily with Machine Learning and Deep Learning software architecture and frameworks.

What technical skills are essential for this position?

Excellent programming skills in Python and C++ are needed, with parallel programming like CUDA as a plus, along with expertise in deep learning frameworks such as PyTorch and NVIDIA GPUs and software libraries.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What qualities make a candidate stand out for this Senior Solutions Architect position?

Candidates stand out with good knowledge of NVIDIA’s DOCA technology, excellent knowledge of Efficient, Lower-Precision AI Training, experience working with academia and government, parallel programming and distributed computing, and a good track record of research publications.

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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