Deep Learning Solutions Architect – Inference Optimization

NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solution Architect with a deep understanding of neural network inference. As our customers adopt increasingly complex inference pipelines on state of the art infrastructure, there is a growing need for experts who can guide the integration of advanced inference techniques such as speculative decoding, request scheduler optimizations or FP4 quantization. The ideal candidate will be proficient using tools such as TRT LLM, vLLM, SGLang or similar, and have strong systems knowledge, enabling customers to fully use the capabilities of the new GB300 NVL72 systems (for example work on efficient KV cache offloading or help with inference of new architectures like hybrid or diffusion models, or architect the pre‑ and post‑processing pipelines).

Solutions Architects work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end‑user solutions. We are looking for someone always passionate about artificial intelligence, someone who can maintain understanding of a fast paced field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. Solutions Architects are the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof‑of‑concept demonstrations, to driving relationships with key executives and managers in order to promote adoption of NVIDIA based AI technology. Engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a significant part of the Solutions Architect role.

What you will be doing

• Work directly with key customers to understand their technology and provide the best AI solutions.
• Perform in‑depth analysis and optimization to ensure the best performance on GPU architecture systems (in particular Grace / ARM based systems). This includes support in optimization of large scale inference pipelines.
• Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof‑of‑concept evaluations.

What we need to see

Ways to Stand Out from The Crowd

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family

NVIDIA is committed to fostering 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.

#J-18808-Ljbffr