Software Engineer – AI Research Clusters

🔥 15 hours ago

🏄 California, Colorado, +4 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $124k - $195.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

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

• Propose and implement engineering solutions for functional, reliable, secure, and performance-optimal GPU clusters • Reduce operational disruption and overhead for internal AI researchers • Enable self-service continuous improvement in reliability, operational excellence, and performance • Understand pain points in validating, monitoring, and operating GPU clusters at scale • Design, develop, and maintain engineering solutions to address cluster operations challenges • Research traditional AIOps and emerging Agentic AI to reduce operational toil • Participate in on-call support for systems and platforms built and owned by the team • Collaborate with coworkers across the AI Platform organization

🎯 Requirements

• BS/MS in Computer Science, Engineering, or equivalent experience • 2+ years in software/platform engineering, including 1 year in ML infrastructure or distributed systems • Experience in software development lifecycle on Linux-based platforms • Strong coding skills in Python, C++ or Rust • Experience with Docker, Kubernetes, GitLab CI, and automated deployments • Experience with AIOps or Agentic AI and applying it successfully in a production environment • Proficiency with full-stack development, including relational data modeling, database optimization, REST API semantics, JavaScript, CSS, and providing API as a service • Experience running Slurm or custom scheduling frameworks in production ML environments • Familiarity with GPU computing, Linux systems internals, and performance tuning at scale

🏖️ Benefits

• Equity • Benefits