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 onstate 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,SGLangor similar, and have strong systems knowledge, enabling customers to fully use the capabilities of the new GB300 NVL
72 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 forsomeonealways passionate about artificial intelligence, someone who canmaintainunderstanding of afast pacedfield, someone able to coordinate efforts between corporate marketing, industry businessdevelopmentand engineering.

Solutions Architects,are the first line of technicalexpertisebetween NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, todrivingrelationships with key executives and manager sin order topromote adoption ofNVIDIA based

AI technology. Engaging with developers, scientific researchers, data scientists, ITmanagersand 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/ARMbased systems). This includes support in optimization oflarge scaleinference pipelines.
• Partner with Engineering, Product and Sales teams to develop, planbest suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

• Excellent verbal, written communication, and technical presentation skills in English.
• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other
  
  Engineering fields.
• 5+yearswork or research experience with Python/ C++ / other software development
• Work experience and knowledge of modern NLP includinggoodunderstanding oftransformer, state space, diffusion, MOEmodel architectures. This can include eitherexpertisein training or optimization/compression/operation of DNNs.
• Understanding of key libraries used for NLP/LLM training (such as Megatron-LM, NeMo,Deep Speedetc.) and/or deployment (e.g.Tensor
  
  RT-LLM,vLLM, Triton Inference Server).
• Enthusiastic about collaborating with various teams and departments—such as Engineering, Product, Sales, and Marketing—this person thrives in dynamic environments and stays focused amid constant change.
• Self-starter with demeanor for growth, passion for continuouslearningand sharing findings across the team.

• Demonstrated experience in running and debugging large-scale distributed deep learning training or inference processes.
• Experience working with larger transformer-based architectures for NLP, CV,ASRor other.
• Applied NLP technology in production environments.
• Proficient with Dev Ops tools including Docker, Kubernetes, and Singularity.
• Understanding of HPC systems: data center design, high speed interconnect Infini Band, Cluster Storage and Scheduling related design and/or management experience.

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 ofrace, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.