Software Solutions Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

8+ years of experience
Bachelor’s degree or similar background in Computer Science, Engineering, or a related area (or equivalent experience); A Master’s degree is desirable
Proven proficiency in Kubernetes, Linux, cloud computing, and distributed systems
Strong track record of successfully implementing complex solutions and driving customer success
Outstanding communication and collaboration skills, with the ability to lead training sessions and briefings
Ambitious and innovative attitude, with a passion for pushing the boundaries of technology

Responsibilities

Leading interactive training sessions for NVIDIA Partners (NPN), OEMs, and internal teams at our headquarters, with emphasis on AI Factory and Mission Control technologies
Spearheading customer Proof of Concepts (PoCs) and integrations, showcasing your proficiency in Kubernetes, Linux, cloud computing, and distributed systems
Building hands-on labs and workshops for data scientists and researchers, and participating in conferences to present these to customers and partners
Leading in-person Executive Briefing Center (EBC) sessions around Run:ai, Mission Control, and AI Factories, explaining the value for different customer workloads and use cases

Skills

Key technologies and capabilities for this role

KubernetesLinuxCloud ComputingDistributed SystemsCKACKADRun:aiAI FactoryMission Control

Questions & Answers

Common questions about this position

What is the base salary range for this Software Solutions Architect position?

The base salary range is 184,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or does it require working at NVIDIA headquarters?

The role involves leading in-person training sessions, workshops, and Executive Briefing Center sessions at NVIDIA headquarters.

What key skills are required for this Solutions Architect role?

The position requires 8+ years of experience, a Bachelor’s degree in Computer Science, Engineering, or related field (Master’s desirable), and proven proficiency in Kubernetes, Linux, cloud computing, and distributed systems. Strong communication, collaboration skills, and a track record of implementing complex solutions are also essential.

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

NVIDIA offers a supportive team dedicated to innovation, making a meaningful impact, and pioneering AI, with a focus on collaboration with industry leaders and pushing technological boundaries.

How can I stand out as a candidate for this position?

Stand out by possessing CKA or CKAD certification, sharing examples of projects involving GPU workloads on Kubernetes, and providing recordings of technical talks from conferences or events.

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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