Solutions Architect - Accelerated Computing

Nvidia

Santa Clara, CA

Full Time

Senior

148k-288k

15 days ago

Job Description

About the Role

We are looking for an Accelerated Computing Solutions Architect at NVIDIA. The role involves leading technical engagements with customers to optimize performance for large-scale AI and HPC applications, collaborating with cloud service providers and partners, and developing custom demonstrations and solutions to address critical customer needs. NVIDIA is committed to fostering a diverse and inclusive work environment and values innovation in AI, machine learning, and high-performance computing.

Key Responsibilities

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 proof of concepts for solutions addressing critical customer business needs.
Analyze, debug, and optimize customer workloads.
Conduct regular technical customer meetings for project/product details, feature discussions, and introductions to new technologies.
Prepare and deliver technical content to customers at workshops, conferences, etc.

Requirements

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, including data center topologies and networking software optimization.
Knowledge of software development, specifically Python and scripting.
Ability to communicate ideas clearly through documentation, presentations, and customer meetings.

Nice to Have

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.
Cloud experience applying cloud concepts like databases in developing workflows for customer use cases.
Hands-on experience with GPU systems including AI workflow development, performance development, and AI benchmarking.
Effective time management and ability to balance multiple tasks and customers while solving problems creatively.

Qualifications

Educational background including BS, MS, or PhD in relevant engineering or science fields.

Benefits & Perks

Base salary range of $148,000 - $287,500, determined based on location, experience, and similar roles.
Eligibility for equity and benefits.

Working at Nvidia

NVIDIA is committed to fostering a diverse work environment and prides itself on being an equal opportunity employer. The company values diversity in current and future employees and does not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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