NVIDIA

Senior Solution Architect, Automotive and Manufacturing

United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & Hardware, Artificial Intelligence, Computer Graphics, Data ScienceIndustries

Industry Solution Architect - Automotive & Manufacturing

Position Overview

NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems.

As an Industry Solution Architect at NVIDIA, you will be the first line of technical expertise between NVIDIA and our customers. Your role will involve working on proof-of-concept demonstrations, driving relationships with key executives and managers, and evangelizing accelerated computing.

What You’ll Be Doing

  • Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement.
  • Understand the customer workload and how it interacts with other parts of the system like networking, storage, deep learning frameworks, data cleaning tools, etc.
  • Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
  • Engage with global System Integrators to scale out and deliver high-quality projects to customers.
  • Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products.
  • Qualify customer opportunities and translate business requirements into technical requirements.
  • Be the central point of technical contact internally and externally and the trusted Advisor for various lighthouse automotive and manufacturing customers.
  • Worldwide travel is required for on-site visits with customers.

What We Need to See

  • Education: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
  • Experience:
    • 5+ years of experience with software development, particularly in Python, C++, or similar languages.
    • 5+ years of industry experience in manufacturing and automotive sectors, with a deep understanding of the specific challenges and opportunities in these fields, particularly understanding domain-specific use cases and mapping these onto the NVIDIA Tech Stack.
    • Track record of pre-sales and MVP engagements leading to productive workloads at customer environments in the manufacturing and automotive space.
  • Skills:
    • Critical thinking capabilities that leverage fundamentals to deduce solutions.
    • Strong collaboration and communication skills to work in a dynamic, fast-changing environment involving internal teams, external vendors, and customers.
    • Experience with Simulation and 3D tooling such as Unreal, Unity, Maya, Blender, 3DS Max and able to advise customers how to create 3D workflows and simulations to build a Digital Twin.
    • Experience with AI workflows, including data curation, model training, customization, inference, and deployment using tools like NVIDIA NeMo and Triton Inference Server.

Ways to Stand Out from the Crowd

  • Familiarity with common Product Data Management (PDM) and Product Lifecycle Management (PLM) systems such as Siemens, Dassault, PTC, and Autodesk Revit.
  • Experience developing solutions for AMRs and Robotics, including Simulation of Robotic Tasks based on Deep Learning.
  • Experience in ROS and ROS2, Robot Manufacturers and ecosystem preferred.
  • Experience with NVIDIA Omniverse Platform.
    • Fundamental knowledge about Omniverse Extensions, Omniverse Workflows and 3D scene creation in Omniverse.
  • Fundamental knowledge about the NVIDIA AI Stack, including NVIDIA Nemo, Cosmos Platform.

Company Information

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. We want to hear from you. Come, join our team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees.


Employment Type: Full time Location Type: Salary:

Skills

Python
C++
System Design
Customer Engagement
Pre-sales
Architecture
Demonstrations
AI
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.

Land your dream remote job 3x faster with AI