NVIDIA
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Senior Deep Learning Infrastructure Engineer
March 21
🏄 California – Remote
🤠 Texas – Remote
💵 $148k - $287.5k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
NVIDIA
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
📋 Description
• Build applications and develop infrastructure for a highly scalable deep learning platform. • Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services. • Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products. • Be an engineering generalist and build skills needed at different times towards solving problems at hand.
🎯 Requirements
• Bachelor's/Master's degree in computer science, engineering, or related field (or equivalent experience). • Minimum 5 years of experience in services, pipelines, API development and system design. • Expertise in Python, JavaScript or another similar programming language. • Zeal to learn and perform beyond prior experience and expertise. • Experience in dev-ops, full-stack development, databases and cloud computing (preferred). • Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications (preferred).
🏖️ Benefits
• Eligible for equity and benefits.
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