Senior AI Solutions Architect

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Support Business Development and Sales teams as part of a team of four, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive developer ecosystem success • Work directly with developers and customers in a customer-facing setting • Support developers in adopting NVIDIA libraries and software frameworks for modern AI and data platforms • Analyze application architectures and identify opportunities for acceleration • Provide feedback and collaborate with engineering, product, and research teams • Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms

🎯 Requirements

• MS/PhD degree in Machine Learning, Computational Science, Physics, or related technical field, or equivalent experience • 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI • Familiarity with accelerated computing platforms and GPU-based distributed systems • Experience with algorithm programming using Python and C/C++ • Development experience using major AI frameworks such as PyTorch and TensorFlow • Familiarity with containers, numerical libraries, modular software design, version control, and GitHub • Experience designing, prototyping, and building complex AI/ML-based solutions for customers • Ability to reason across data pipelines, models, compute, networking, and orchestration • Solid written and oral communication skills and familiarity with collaborative environments • Ability to learn, react, and adapt quickly in a fast-paced environment • Experience with NVIDIA software libraries and GPUs • Experience with Kubernetes, distributed training, and large-scale inference • Experience supporting or using PCIe accelerators such as GPUs, FPGAs, and DSPs from evaluation to production • Familiarity with embedded domain-specific languages such as CUDA, OneAPI, OpenCL, or HDL

🏖️ Benefits

• Equity • Benefits • Inclusive and supportive work environment • Equal opportunity employment environment