NVIDIA
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.
Harness and Platform Engineer, AI Safety and Security Engineering
Job not on LinkedIn
🔥 25 minutes ago
🏄 California, Florida, +3 more states – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
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NVIDIA
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
• Design, implement, and maintain the agent harness • Build the systems we use to run and reproduce experiments • Own environments, tooling, and repeatable runs • Partner with security and evaluation engineers on their workflows
🎯 Requirements
• Bachelor's degree (or equivalent experience) • 5+ years of software engineering experience • Strong Python engineering plus comfort with containerized environments and CI/CD • Experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses • Care for versioned tooling and repeatable results
🏖️ Benefits
• Equity • Benefits
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