Senior AI Developer, Technology Engineer

🕒 October 12

🏄 California, North Carolina, +3 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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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

• Develop cutting-edge techniques to GPU-accelerate complex workloads across generative AI, including LLMs, diffusion models, and multimodal systems, deep learning, and machine learning • Work directly with key developers to optimize and accelerate generative AI training and inference on NVIDIA platforms • Build and optimize algorithms to deliver the best performance • Contribute to training and inference frameworks, low-level software libraries, and open-source projects • Partner with technical experts in industry and academia to analyze and optimize complex AI algorithms on modern CPU and GPU architectures • Shape next-generation hardware, system software, libraries, and programming models through collaboration with NVIDIA engineering and research teams • Publish optimization techniques in developer blogs and present at industry conferences

🎯 Requirements

• MS in Computer Science, Computer Engineering, or related computational field (or equivalent experience) • 8+ years of relevant work or research experience in software engineering and performance tuning • Programming fluency in C/C++ with a deep understanding of algorithms and software development • Background in accelerated computing, with comprehensive knowledge of parallel programming, performance analysis and optimization • Hands-on experience doing low-level performance optimizations • Foundational understanding of modern CPU and GPU architectures • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills • Expertise in the parallelization and performance optimization of Large Language Models (LLMs), Diffusion Models, and Multimodal Architectures for training and inference • Experience with training and inference stacks, serving frameworks, pre-training and post-training pipelines • Strong foundation in linear algebra and numerical methods • Continuous learning, proactively keeping up with cutting-edge technologies, and adapting to a rapidly evolving landscape

🏖️ Benefits

• Equity • Benefits