6 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Serve as the main technical contact for NVIDIA products with hyperscale customers and cloud service providers.
- Lead technical engagements for large-scale AI training, inference, and infrastructure deployments.
- Work with engineering teams to secure design wins, resolve challenges, bring solutions to production, and support their lifecycle.
- Understand customer environments and strategies, translate needs into product requirements, and provide feedback for product improvements.
- Lead workshops, demonstrations, and proof-of-concepts showcasing NVIDIA AI/ML capabilities.
- Guide customers on scalable AI model deployment and inference optimization.
- Facilitate customer issue resolution and provide proactive communication to mitigate risks.
Requirements
- BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
- Strong understanding of Linux, data science, and machine learning infrastructure across software and hardware.
- Professional-level communication, interpersonal, follow-up, problem-solving, and customer engagement skills.
- Proficiency in Python and ability to develop scripts and custom tools.
- Experience with parallel programming or GPU acceleration such as CUDA is helpful.
- Experience with chatbots, RAG pipelines, vector databases, distributed training or inference, HPC environments, multi-node GPU clusters, and large-scale AI workload performance tuning is preferred.
- Experience with cloud or virtualized environments and containerized solutions, including Docker and Kubernetes, is preferred.
- Familiarity with deep learning frameworks such as PyTorch or JAX is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors, with stated Level 4 and Level 5 salary ranges.
- Applications accepted at least until November 7, 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.