NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is at the forefront of redefining computing with groundbreaking AI technologies that are reshaping industries worldwide. We are seeking a passionate and innovative Solutions Architect to join our critical AI infrastructure and reliability initiatives, bridging technical excellence with strategic customer engagement. As part of the NVIDIA Solution Architecture organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product strategy.
What you will be doing:
Collaborating with NVIDIA customers to enhance AI workload performance through advanced telemetry solutions.
Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teams.
Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions
Building custom product demonstrations and POCs for solutions that address critical business needs of our customers
Work with different layers of NVIDIA technical stack from hardware to AI SDKs.
Collaborate with customers to understand their unique challenges and architect tailored solutions that use our advanced telemetry, monitoring, and AI technologies
Preparing and delivering technical training presentations and workshops
What we need to see:
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or other Engineering fields or equivalent experience.
This role is for an individual with the motivation and skills to drive the technical pre-sales process.
3+ years of experience in Python and C/C++.
Experience in systems software development, distributed computing architectures, and AI.
Background with AI/ML workload understanding, testing, performance characterization, and high-performance computing.
Ways to stand out from the crowd:
External customer facing skill-set and background
Experience debugging functional and performance issues in HPC GPU clusters
Experience with MPI, CUDA, and parallel computing technologies
Advanced understanding of RAS principles and their implementation in large-scale computing systems
Deep understanding of GPU computing architectures
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
The base salary range is 148,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
