Senior Software Engineer – AI Research Clusters

🕒 April 30

🏄 California, Oregon, +2 more states – Remote

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

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers. • Design, develop and maintain engineering solutions to understand the pain points of validating, monitoring and operating GPU clusters at scale. • Research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil. • Participate in on-call support for systems, platforms built and owned by the team.

🎯 Requirements

• BS/MS in Computer Science, Engineering, or equivalent experience. • 5+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems. • Experience in software development lifecycle on Linux-based platforms. • Strong coding skills in languages such as Python, C++ or Rust. • Experience with Docker, Kubernetes, GitLab CI, automated deployments. • Experience with AIOps or Agentic AI and apply it successfully in production environment.

🏖️ Benefits

• equity • benefits