We are looking for an Accelerated Computing Solutions Architect! NVIDIA is searching for a Solutions Architect with expertise in AI, Machine Learning, and HPC including performance optimization, application development and networking technologies. Primary responsibilities will be to lead technical engagements with customers as they investigate performance optimization and improvements for their large scale AI and HPC application deployments. Would you like to collaborate with some of the biggest companies developing brand-new AI solutions by applying both NVIDIA and cloud technologies and optimizing them for outstanding performance? Interested in broadening your skills in building robust AI pipelines and deployment of large-scale AI models in the cloud? Then read on!
What you’ll be doing:
Work with NVIDIA Cloud Service Providers and NVIDIA Cloud Partners on accelerated computing and performance optimization problems
Guide customers through their journey from cluster and application deployment as well as optimization towards large-scale AI training and inference and HPC
Build custom product demonstrations and PoCs for solutions addressing critical customer business needs as well as analyze, debug and optimize customer workloads
Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies
Prepare and deliver technical content to customers at workshops, conferences, etc.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering/Science or equivalent experience.
Motivation and skills to help drive technical pre-sales activities
5+ years of Solutions Engineering, Solutions Architecture or similar Sales Engineering experience
Practical knowledge of data center scale optimization - data center topologies, networking software optimization
Knowledge of software development - specifically Python, scripting, etc.
Ability to communicate ideas clearly through documentation, presentations, customer meetings, etc.
Ways to stand out from the crowd:
External customer facing skill-set and background
Hands-on experience developing AI applications using NVIDIA technologies (GPUs and/or software) and optimizing/debugging performance with NCCL, etc.
Cloud experience (applying cloud concepts like Database, etc. in developing workflows for customer use cases)
Hands-on experience with GPU systems in general including but not limited to AI workflow development, performance development, AI benchmarking, etc
Effective time management and capability to balance multiple tasks and multiple customers at once while thinking creatively to debug and solve problems
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
