1 day ago
Base Salary
$272k - $431k/yr
Responsibilities
- Collaborate with NVIDIA Cloud Partners to create, implement, and deliver NVIDIA hardware and software solutions.
- Lead customers through the design, development, construction, integration, and production of GPU cloud infrastructure and applications.
- Drive end-to-end technical solution integration and support complex multidisciplinary customer engagements throughout the customer lifecycle.
- Build and support proof-of-concepts addressing customer needs across infrastructure, libraries, and applications.
- Conduct technical customer meetings covering project details, features, new technologies, and debugging.
- Prepare and deliver customer-facing presentations, workshops, reference architectures, tutorials, and publications.
- Partner with sales, account management, engineering, product, and business leaders to align strategies, assess technical needs, and support business opportunities.
- Provide product strategy recommendations based on customer and partner feedback.
Requirements
- Bachelor’s, master’s, or PhD in electrical engineering, computer engineering, computer science, physics, mathematics, or another engineering field, or equivalent experience.
- 15+ years of solution engineering, sales engineering, cloud engineering, solution architecture, or similar experience working directly with customers and partners.
- Experience designing, developing, and deploying large-scale clusters and distributed cloud architectures.
- Strong programming, optimization, and software design fundamentals, especially with Python, PyTorch, and TensorFlow.
- Practical experience fine-tuning and deploying models and integrating software application stacks, libraries, and frameworks for GPU platforms.
- Ability to lead complex multidisciplinary technical engagements and collaborate across functional teams.
- Strong time management, presentation, communication, collaboration, self-direction, and continuous-learning skills.
- Preferred experience with NVIDIA GPUs, NVIDIA software libraries and frameworks, foundation models, AWS, Azure, GCP, on-premises or hybrid infrastructure, AI training and inference workloads, GPU networking and storage, performance testing, benchmarking, MLOps, cluster orchestration, and enterprise developers.
Benefits
- Equity and employee benefits are provided.
- The base salary range is $272,000 to $431,250 USD.
- Applications will be accepted at least until September 6, 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.