Senior Solutions Architect, Data Center Infrastructure at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, Data CentersIndustries

Requirements

Strong foundational expertise and a BS, MS, or equivalent experience in Engineering
Established track record working with mechanical, electrical, and plumbing solutions for large scale AI and HPC clusters
6 or more years of proven experience with large-scale power/cooling/mechanical designs and deployments, at both detailed hands-on and high-level architecture levels
Strong analytical and problem-solving skills, along with an ability to articulate what you know to others
Ability to multitask efficiently in a multifaceted environment
Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability
Flexibility to adapt in fluid situations
Comfortable with 5% travel to customer sites and NVIDIA Headquarters (Santa Clara, CA)

Responsibilities

Help partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks
Focus on overcoming barriers to adoption at scale for AI Factories
Bring knowledge of data center and rack scale power and cooling to help customers build for current and future AI Factories
Share knowledge with colleagues through delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs
Collaborate with executives and engineering to tackle sophisticated problems and bring NVIDIA's premiere technologies to life
Solve unsolved problems in the industry by working closely with customers and partners to deploy and operationalize AI solutions at scale

Skills

Key technologies and capabilities for this role

HPCAI InfrastructureData Center PowerCooling SystemsCDUsCooling LoopsPsychrometricsPUE OptimizationMechanical EngineeringElectrical EngineeringPlumbing SolutionsRack Scale Design

Questions & Answers

Common questions about this position

What experience is required for this Senior Solutions Architect role?

Candidates need a BS, MS, or equivalent in Engineering, a track record in mechanical, electrical, and plumbing solutions for large-scale AI and HPC clusters, and 6+ years of experience with power/cooling/mechanical designs at hands-on and architectural levels.

Is travel required for this position?

Yes, the role requires up to 5% travel to customer sites and NVIDIA Headquarters in Santa Clara, CA.

What skills help candidates stand out for this role?

Experience with rack and system level liquid cooling technologies like CDUs and manifolds, cooling technologies such as chillers and cooling towers, and design/implementation of AC and DC power distribution stand out.

What is the salary or compensation for this position?

This information is not specified in the job description.

What soft skills are needed for this Solutions Architect role?

Strong analytical and problem-solving skills, ability to articulate knowledge to others, multitasking in multifaceted environments, presenting technical materials to diverse groups, and flexibility in fluid situations are required.

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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