2 days ago
Redmond, WA, USA +2 moreSenior / Staff+
H1B sponsor
Base Salary
$152k - $288k/yr
Responsibilities
- Develop and demonstrate NVIDIA ML/DL and data science solutions with cloud service providers.
- Build and deploy AI/ML solutions at scale on cloud-based GPU platforms.
- Create custom proofs of concept addressing customers’ business needs with NVIDIA hardware and software.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities.
- Prepare and deliver customer-facing technical presentations, workshops, and solution content.
- Conduct customer meetings covering project and product roadmaps, feature discussions, and new technologies.
- Establish technical relationships with customers and facilitate resolution of customer issues.
Requirements
- At least 4 years of Solutions Engineering or similar Sales Engineering experience.
- At least 3 years of work-related experience in deep learning and machine learning.
- Experience with TensorFlow or PyTorch, GPUs, and preferably CUDA.
- A BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, Statistics, Physics, or another engineering field, or equivalent experience.
- Experience deploying solutions in cloud computing environments such as AWS, GCP, or Azure.
- Knowledge of DevOps or MLOps technologies, including Docker or containers, Kubernetes, and data center deployments.
- Ability to use at least one scripting language, such as Python.
- Good programming and debugging skills.
- Ability to communicate technical ideas and code clearly through documents and presentations.
- Preferred qualifications include AWS, GCP, or Azure Professional Solution Architect certification; hands-on NVIDIA GPU and SDK experience; GPU-based systems experience; deep learning at scale; and parallel programming or distributed computing experience.
Benefits
- Base salary ranges from $152,000 to $241,500 for Level 3 and $184,000 to $287,500 for Level 4, depending on location and experience.
- Eligible for equity and benefits.
- Conferencing tools are used extensively, with occasional travel for local customer visits and industry events.
- Applications will be accepted at least until October 27, 2026.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.