We are looking for a Solution Architect with experience in both GPU Infrastructure and related Software frameworks including scale out and scale up solutions across OEM’s (compute, networking, and storage). As part of our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and artificial intelligence. This role offers an excellent opportunity to expand your career in the rapidly growing field of GPU Infrastructure (both physical and virtual) and artificial intelligence while empowering the world's most successful companies.
We need a passionate, hard-working and creative individual to help us pursue more of these opportunities in fields of AI compute. This Solutions Architect role requires becoming a trusted technical advisor and leader to our customers, with a strong focus on POC’s and design for our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the entire industrial domain.
A Solution Architect is the first line of technical expertise between NVIDIA and our customers. Your duties will vary from inventing proof-of-concept demonstrations, to driving relationships with key executives and managers in order to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.
What You’ll Be Doing:
Working with our Deep Learning customers to help them leverage NVIDIA Software Development Kits (SDK/s) and GPU based infrastructure to best advantage for their business.
Work directly with key partners and customers to understand their technology and provide the best solutions, ensuring that the partners skills develop with opportunities.
Develop and demonstrate solutions based on NVIDIA’s state-of-the-art ML/DL, data science software and hardware technologies to customers especially virtualized solutions such as VMware + Tanzu and Open Source and running on the NVIDIA DGX platform.
Partner with APAC Regional and HQ Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations
Developing, enabling and supporting our key Partner’s and OEM’s around NVIDIA’s software and HW solutions.
Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. Work closely with customer's data science, ML/DL developers and IT teams
What We Need to See:
Experience working in or with Business partners and OEM’s, managing technical aspects of deals and accounts.
Experience in AI/DL/ML developing/supporting projects experience on Intelligent Video Analytics/computer vision, Healthcare frameworks (such as NVIDIA CLARA), or data analytics technologies.
Good planning and long term strategic engagement with a broad ecosystem of stakeholders from customer, to internal and external parties.
Strong presales and technical skills with GPU Infrastructure and virtualized environments.
You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)
Excellent presentation skills and demonstrated capacity to deliver complex messaging to customers and partners.
Excellent verbal and written communication.
You are able to work remotely, planning well with strong partnering with a small team with an attitude for growth, passion for continuous learning and sharing findings across the team
Ways to Stand Out from The Crowd:
Design and Deployment technical skills across a variety of OEM infrastructure (Compute, Network and Storage) with good analytical and troubleshooting skills.
Familiarity deploying NVIDIA HPC/AI Software frameworks such as NGC.
Special skills in large-scale computing and cluster computing, data center design include high speed interconnect with InfiniBand, Cluster Storage and Scheduling related design and/or management experience.
Python coding skills and automation/orchestration tools, or AI software development.
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. If you're creative and autonomous, we want to hear from you!
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.
