Solutions Architect, Applied AI
Job Description:
• Develop end-to-end AI solutions for enterprise use cases
• Help customers adopt NVIDIA AI SDKs and APIs and design GPU-accelerated pipelines to optimize compute utilization and performance
• Build solutions using deep learning technologies: language and multimodal models, information retrieval, domain customization, reinforcement learning, reasoning, inferencing, agentic systems
• Build reference architectures to deploy and optimize workloads at large scale
• Improve NVIDIA products through engineering contributions and build creative solutions to scaling challenges
• Deliver hands-on training and share expert knowledge across the organization and community
• Act as the face and trusted expert advisor for customers and partners
Requirements:
• BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience)
• 5+ years experience using deep learning frameworks and libraries such as PyTorch, Tensorflow/Keras, Hugging Face Transformers, Megatron-LM, and DeepSpeed
• Expertise running deep learning jobs on GPUs using SLURM and Kubernetes
• 5+ years experience with Python and Linux; demonstrated coding and debugging skills
• Hands-on experience customizing AI models: distillation, pre-training, supervised finetuning, reinforcement learning, reasoning, evaluation, guard railing, and data curation
• Demonstrated expertise in accuracy and performance profiling and optimization for AI training and inference workloads
• Ability to learn fast and adapt to change
• Clear written and oral communication skills; ability to collaborate with executives and engineering teams
• (Nice to have) Background with NVIDIA AI Enterprise software (NeMo), experience training foundational models, experience on high-performance NVIDIA GPU computing clusters, extensive engineering and customer collaboration experience
• (Nice to have) Willingness and ability to dig into unfamiliar territories to solve complex problems
Benefits:
• Eligible for equity
• Eligible for benefits
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• Develop end-to-end AI solutions for enterprise use cases
• Help customers adopt NVIDIA AI SDKs and APIs and design GPU-accelerated pipelines to optimize compute utilization and performance
• Build solutions using deep learning technologies: language and multimodal models, information retrieval, domain customization, reinforcement learning, reasoning, inferencing, agentic systems
• Build reference architectures to deploy and optimize workloads at large scale
• Improve NVIDIA products through engineering contributions and build creative solutions to scaling challenges
• Deliver hands-on training and share expert knowledge across the organization and community
• Act as the face and trusted expert advisor for customers and partners
Requirements:
• BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience)
• 5+ years experience using deep learning frameworks and libraries such as PyTorch, Tensorflow/Keras, Hugging Face Transformers, Megatron-LM, and DeepSpeed
• Expertise running deep learning jobs on GPUs using SLURM and Kubernetes
• 5+ years experience with Python and Linux; demonstrated coding and debugging skills
• Hands-on experience customizing AI models: distillation, pre-training, supervised finetuning, reinforcement learning, reasoning, evaluation, guard railing, and data curation
• Demonstrated expertise in accuracy and performance profiling and optimization for AI training and inference workloads
• Ability to learn fast and adapt to change
• Clear written and oral communication skills; ability to collaborate with executives and engineering teams
• (Nice to have) Background with NVIDIA AI Enterprise software (NeMo), experience training foundational models, experience on high-performance NVIDIA GPU computing clusters, extensive engineering and customer collaboration experience
• (Nice to have) Willingness and ability to dig into unfamiliar territories to solve complex problems
Benefits:
• Eligible for equity
• Eligible for benefits
Apply tot his job
Apply To this Job