Solutions Architect – AI and ML
Company | NVIDIA |
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Location | Seattle, WA, USA, Redmond, WA, USA, Santa Clara, CA, USA |
Salary | $120000 – $235750 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, PhD |
Experience Level | Mid Level, Senior |
Requirements
- 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience
- 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
- Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
- Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
- Ability to use at least one scripting language (i.e., Python)
- Good programming and debugging skills
- Ability to communicate your ideas/code clearly through documents, presentation etc.
Responsibilities
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies
- Build and deploy AI/ML solutions at scale using NVIDIA’s AI software on cloud-based GPU platforms.
- Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
- Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues.
Preferred Qualifications
- AWS, GCP or Azure Professional Solution Architect Certification.
- Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
- System-level experience specifically GPU-based systems
- Experience with Deep Learning at scale
- Familiarity with parallel programming and distributed computing platforms