6 days ago
Base Salary
$184k - $288k/yr
Responsibilities
- Partner with solution architects, engineering, product, and business teams to define high-value technical solutions.
- Engage with developers, scientific researchers, and data scientists across technical areas.
- Partner with strategic customers and industry-specific solution providers targeting NVIDIA computing platforms.
- Help customers adopt and build solutions using NVIDIA technology and MLOps solutions.
- Develop proof-of-concepts focused on Generative AI and LLM inference.
- Analyze the performance and power efficiency of AI inference workloads on Kubernetes.
- Travel to conferences and customer sites as needed, approximately 20%.
Requirements
- Bachelor's, master's, or doctoral degree in computer science, electrical/computer engineering, physics, mathematics, another engineering field, or a related field, or equivalent experience.
- At least 8 years of hands-on experience with deep learning frameworks such as PyTorch and TensorFlow.
- Strong programming, optimization, and software design fundamentals, especially in Python.
- Proficiency in GPU orchestration and Multi-Instance GPU management within Kubernetes environments.
- Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments.
- Excellent knowledge of the theory and practice of LLM and deep learning inference.
- Strong problem-solving, debugging, presentation, communication, and collaboration skills.
- Preferred experience includes large-scale deep learning training, production inference deployment or optimization, NVIDIA GPUs and software libraries, C/C++ programming, parallel programming, and distributed computing.
Benefits
- Equity and benefits are available.
- The role may require approximately 20% travel to conferences and customers.
- Applications will be accepted at least until September 1, 2026.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.