4 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Serve as a trusted technical advisor to AI-native companies and their founders, CTOs, and engineering teams.
- Architect and optimize AI workloads using NVIDIA technologies, including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
- Help startups scale AI training and inference infrastructure while optimizing performance, cost, and latency.
- Guide architectural decisions involving model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
- Collaborate with NVIDIA engineering, research, product, business development, solutions architecture, and account teams to influence platform adoption and roadmap direction.
- Create reference architectures, AI blueprints, and best practices for scalable AI applications and agentic systems.
- Build relationships across the AI-native startup ecosystem and accelerate adoption of NVIDIA technologies.
Requirements
- BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
- At least 5 years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
- Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
- Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
- Deep understanding of LLMs, agent frameworks, multimodal models, and inference optimization.
- Ability to influence product architecture and technical roadmaps while working with engineering teams and startup founders.
- Strong communication skills for explaining complex AI systems to engineers, founders, and executives.
- Experience in startup environments or high-growth developer ecosystems is preferred.
- Experience with TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies is preferred.
- Experience scaling AI infrastructure platforms, developer tools, or agent frameworks and contributing to open-source AI frameworks is preferred.
Benefits
- Competitive salary, equity, and benefits package.
- Base salary varies by location, experience, and other objective job-related factors; stated ranges are $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4.
- Applications accepted at least until November 9, 2026.
- This posting is for an existing vacancy.
Tech Stack
Nim
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.