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- Tasks: Lead technical expertise and drive customer relationships in automotive and manufacturing sectors.
- Company: NVIDIA is a global leader in AI, computer graphics, and accelerated computing.
- Benefits: Enjoy a diverse work environment with opportunities for global travel and innovative projects.
- Why this job: Join a team of forward-thinkers solving real-world problems in a rapidly growing field.
- Qualifications: Bachelor’s or higher in relevant fields with 5+ years of industry experience required.
- Other info: NVIDIA values diversity and is an equal opportunity employer.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Senior Solution Architect, Automotive and Manufacturing
Join to apply for the Senior Solution Architect, Automotive and Manufacturing role at NVIDIA
Senior Solution Architect, Automotive and Manufacturing
Join to apply for the Senior Solution Architect, Automotive and Manufacturing role at NVIDIA
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 delivery 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
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
- 5+ years of Experience with software development, particularly in Python, C++, or similar languages.
- 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.
- 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 map 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
- 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
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, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR1999001
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
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Senior Solution Architect, Automotive and Manufacturing employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solution Architect, Automotive and Manufacturing
✨Tip Number 1
Familiarise yourself with NVIDIA's products and technologies, especially those related to automotive and manufacturing. Understanding their tech stack will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the automotive and manufacturing sectors who have experience with NVIDIA solutions. Attend industry events or webinars to connect with potential colleagues and gain insights into the challenges they face, which can be valuable during your discussions with the hiring team.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented AI workflows or simulation tools in previous roles. Highlighting your hands-on experience will showcase your ability to translate business requirements into technical solutions, a key aspect of the Senior Solution Architect position.
✨Tip Number 4
Research common Product Data Management (PDM) and Product Lifecycle Management (PLM) systems used in the industry. Being able to speak knowledgeably about these systems will set you apart and show that you're ready to tackle the specific challenges faced by NVIDIA's customers.
We think you need these skills to ace Senior Solution Architect, Automotive and Manufacturing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly with Python and C++. Emphasise your background in the automotive and manufacturing sectors, showcasing specific projects or roles that align with NVIDIA's needs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and innovation. Discuss how your skills and experiences make you a perfect fit for the Senior Solution Architect role, and mention any familiarity with NVIDIA products or technologies.
Showcase Technical Expertise: When detailing your experience, focus on your critical thinking capabilities and collaboration skills. Provide examples of how you've successfully engaged with customers or led pre-sales conversations, especially in the context of AI and 3D workflows.
Highlight Relevant Projects: Include specific examples of projects where you've developed solutions for manufacturing or automotive challenges. Mention any experience with simulation tools or AI workflows, as well as your understanding of Product Data Management systems.
How to prepare for a job interview at Nvidia
✨Showcase Your Technical Expertise
As a Senior Solution Architect, you'll need to demonstrate your deep understanding of software development and AI workflows. Be prepared to discuss your experience with Python, C++, and any relevant tools like NVIDIA NeMo or Triton Inference Server. Highlight specific projects where you've successfully implemented these technologies.
✨Understand the Automotive and Manufacturing Landscape
Familiarise yourself with the unique challenges and opportunities in the automotive and manufacturing sectors. Be ready to discuss domain-specific use cases and how they relate to NVIDIA's tech stack. This will show that you can translate business requirements into technical solutions effectively.
✨Prepare for Pre-Sales Conversations
Since this role involves driving pre-sales discussions, practice articulating how you would build architectures and demos to accelerate customer AI journeys. Think about how you can qualify customer opportunities and present them in a way that aligns with their needs.
✨Demonstrate Strong Communication Skills
Effective communication is key in this role, especially when engaging with global System Integrators and customers. Prepare examples of how you've collaborated with diverse teams and stakeholders in the past, showcasing your ability to convey complex technical concepts clearly.
