Senior Solutions Architect, Generative AI Data Processing 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

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics
Strong fundamentals in programming, optimizations, and software design, especially in Python
Strong problem-solving and debugging skills
Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
Excellent presentation, communication and collaboration skills
Comfortable working in a dynamic environment with experience in Deep Learning, LLMs and GPU technologies

Responsibilities

Partnering with other solution architects, engineering, product and business teams, understanding their strategies and technical needs and helping define high-value solutions
Dynamically engaging with developers, scientific researchers, and data scientists, gaining 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 creative solutions using NVIDIA technology
Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases
Collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems
Some travel to conferences and customers may be required

Skills

Key technologies and capabilities for this role

Deep LearningLLMsGPUGenerative AIData ProcessingScalable SystemsAI OptimizationAgentic Workflows

Questions & Answers

Common questions about this position

What is the base salary for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What are the required skills for the Senior Solutions Architect role?

Candidates need a BS, MS, or PhD in Computer Science or related fields (or equivalent), 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics, strong fundamentals in programming, optimizations, and software design especially in Python, strong problem-solving and debugging skills, experience with containerization and orchestration technologies, and excellent presentation, communication and collaboration skills.

What is the company culture like at NVIDIA for this role?

The role involves working in an interdisciplinary team, collaborating with diverse internal teams like solution architects, engineering, product and business teams, and dynamically engaging with developers, scientific researchers, and data scientists in a dynamic environment.

What makes a candidate stand out for this position?

Candidates stand out with prior experience with AI at scale on cloud environments like AWS, Azure, GCP, experience with NVIDIA GPUs and software libraries such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDS, expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks, and excellent C/C++ programming skills.

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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