Senior Cloud Solutions Engineer
Lambda- Full Time
- Senior (5 to 8 years)
NVIDIA's Worldwide Field Operations (WWFO) team is seeking a Solution Architect with a strong focus on Deep Learning and a deep understanding of neural network training. The introduction of NVIDIA GB200 NVL72 systems, bringing Chip-to-Chip NVLINK and the significant expansion of the NVLINK domain, have enabled a wide range of new neural network architectures and approaches to training. The ideal candidate will be proficient using tools such as NeMo, Megatron-LM, DeepSpeed, PyTorch FSDP, or similar, and have strong systems knowledge, enabling customers to fully utilize the capabilities of the new Grace Blackwell training systems. This could include helping customers take advantage of much wider neural networks, use of asynchronous checkpointing, or activation offloading. Hands-on experience in LLM post-training, particularly RL, would help the candidate stand out.
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 passionate about artificial intelligence, who can maintain understanding of a fast-paced field, and is 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.
Full time
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Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.