Senior Solution Architect, Automotive and Manufacturing

United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors & Hardware, Artificial Intelligence, Computer Graphics, Data ScienceIndustries

Requirements

Candidates should possess a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field. Applicants must have at least five years of experience with software development, specifically utilizing Python, C++, or similar languages, and a minimum of five years of industry experience within the manufacturing and automotive sectors, demonstrating a deep understanding of the unique challenges and opportunities in these fields, including domain-specific use cases and their mapping to the NVIDIA Tech Stack. A track record of pre-sales and MVP engagements resulting in productive workloads at customer environments is also required.

Responsibilities

As a Senior Solution Architect, you will be the initial technical point of contact for NVIDIA customers, engaging in the entire service lifecycle from inception to refinement. You will understand customer workloads and their interaction with related systems, provide feedback to internal teams regarding bugs and improvements, collaborate with global System Integrators to scale projects, drive pre-sales conversations and build architectures/demos to accelerate the customer AI journey, qualify customer opportunities, translate business requirements into technical specifications, and serve as the central technical contact for both internal and external stakeholders. Furthermore, you will be responsible for worldwide travel to conduct on-site customer visits and advise customers on the creation of 3D workflows and simulations using tools such as Unreal, Unity, Maya, Blender, and 3DS Max, as well as experience with AI workflows utilizing NVIDIA NeMo and Triton Inference Server.

Skills

Python

C++

System Design

Customer Engagement

Pre-sales

Architecture

Demonstrations

Deep Learning

Networking

Data Management

Troubleshooting

Collaboration

Communication

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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