AI Infrastructure Engineer

October 31

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $224k - $425.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

NVIDIA

WebsiteLinkedInAll Job Openings

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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure. • Develop and optimize tools to improve infrastructure efficiency and resiliency. • Root cause and analyze and triage failures from the application level to the hardware level. • Enhance infrastructure and products underpinning NVIDIA's AI platforms. • Co-design and implement APIs for integration with NVIDIA's resiliency stacks. • Define meaningful and actionable reliability metrics to track and improve system and service reliability. • Skilled in problem-solving, root cause analysis, and optimization.

🎯 Requirements

• Minimum of 12+ years of experience in developing software infrastructure for large scale AI systems. • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level. • Proven track record in building and scaling large-scale distributed systems. • Experience with AI training and inferencing and data infrastructure services. • Familiar in operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki). • Proficiency in programming languages such as Python, C/C++, script languages.

🏖️ Benefits

• equity • benefits