
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
🔥 1 minute ago
🏄 California, North Carolina – Remote
💵 $168k - $270.3k / year
⏰ Full Time
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
• Leading cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment. • Designing, building, and operating scalable services that support secure, isolated agent workloads. • Developing automation for infrastructure provisioning, VM lifecycle management, application delivery, configuration, monitoring, and remediation. • Collaborating with engineering teams across NVIDIA to translate business and AI workflow requirements into dependable platform capabilities. • Improving the platform’s reliability, scalability, observability, performance, and operational efficiency. • Continuously raising standards for code quality, testing, documentation, infrastructure security, and production readiness.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent experience. • 8+ years of experience in software, platform, infrastructure, or cloud engineering, with a focus on backend or distributed systems. • Strong understanding of distributed-systems concepts, including service communication, asynchronous processing, failure handling, retries, idempotency, and eventual consistency. • Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance. • Understanding of secure software development, cloud security, identity and access management, secrets management, and network security. • Experience with AI-native development and coding agents to multiply developer efficiency. • Strong communication skills and a collaborative, team-oriented approach.
• Health insurance • Retirement plans • Paid time off •Equity
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