NVIDIA’s Solution Architect team is looking for an
AI-focused Solutions Architect specializing in Agentic AI inference
. We work with the most advanced computing hardware and software, driving the latest breakthroughs in artificial intelligence. As AI applications rapidly evolve from traditional model serving toward more complex agentic systems, inference infrastructure and optimization are becoming increasingly important to delivering scalable, responsive, and cost-efficient AI services.
We are looking for someone with strong expertise in
large language models, AI inference, or distributed AI systems
, and a passion for solving emerging challenges in Agentic AI. You will work closely with leading cloud service providers and AI platform teams to design and optimize large-scale inference solutions on NVIDIA accelerated computing platforms. You will also collaborate across NVIDIA Engineering, Product, Sales, and Business Development teams to turn customer requirements into scalable solutions and product improvements.
As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your work will range from architecture design and proof-of-concept development to hands-on performance analysis and optimization of production-scale AI systems. Dynamically engaging with developers, AI researchers, infrastructure engineers, platform architects, and senior technical leaders is a meaningful part of the role.
What you’ll be doing
- Work with customers to design, deploy, and optimize large-scale LLM and Agentic AI inference systems on NVIDIA accelerated computing platforms.
- Analyze end-to-end inference workloads and identify opportunities to improve latency, throughput, scalability, resource utilization, and cost efficiency.
- Explore and develop solutions for emerging Agentic AI inference challenges, which may include areas such as KV cache management, intelligent routing and scheduling, distributed or disaggregated serving, heterogeneous inference, and large-scale model parallelism.
- Build proof-of-concepts, performance studies, and reference solutions to validate new architectures and demonstrate the value of NVIDIA technologies in real-world AI workloads.
- Partner with NVIDIA Engineering, Product, Sales, and Business Development teams to solve customer problems, provide product feedback, and help shape technical strategies for strategic AI infrastructure opportunities.
What we need to see
- MS or PhD in Electrical Engineering, Computer Science/Engineering, Mathematics, Physics, or a related field, or equivalent practical experience.
- 3+ years of relevant experience in large language models, AI inference, distributed AI systems, or related areas, with hands-on experience in system design, performance optimization, or large-scale AI workloads.
- Strong understanding of modern AI systems and the ability to analyze performance across models, software frameworks, compute, memory, communication, and infrastructure.
- Strong programming and problem-solving skills, with experience using common AI frameworks and tools. Proficiency in using AI tools or agents to improve engineering productivity is highly valued.
- Clear and structured thinking, strong technical communication skills, and the ability to work effectively with both engineering teams and senior technical stakeholders.
Ways to stand out from the crowd
- Experience with Agentic AI or advanced LLM inference optimization, especially for large-scale production workloads.
- Demonstrated experience optimizing AI workloads on GPU-accelerated systems or distributed computing platforms.
- Familiarity with advanced inference technologies such as NVIDIA Dynamo, TensorRT-LLM, disaggregated serving, heterogeneous inference, expert parallelism, or other large-scale serving techniques.
- Experience with NVIDIA AI software and platforms, or with large cloud service providers and production AI infrastructure.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous, and passionate about building the next generation of Agentic AI infrastructure, we want to hear from you!
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.