Senior ML Platform Engineer

🔥 0 minutes ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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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

• Design, build, and maintain our core ML platform infrastructure as code, primarily using Ansible and Terraform, ensuring reproducibility and scalability across large-scale, distributed GPU clusters. • Apply SRE principles to diagnose, troubleshoot, and resolve complex system issues across the entire stack, ensuring high availability and performance for critical AI workloads. • Develop robust internal automation and tooling for ML workflow orchestration, resource scheduling, and platform operations, with a strong focus on software engineering best practices. • Collaborate with ML researchers and applied scientists to understand infrastructure needs and build solutions that streamline their end-to-end experimentation. • Evolve and operate our multi-cloud and hybrid (on-prem + cloud) environments, implementing monitoring, alerting, and incident response protocols. • Participate in on-call rotation to provide support for platform services and infrastructure running critical ML jobs, driving root cause analysis and implementing preventative measures. • Write high-quality, maintainable code (Python, Go) to contribute to the core orchestration platform and automate manual processes. • Drive the adoption of modern GPU technologies and ensure smooth integration of next-generation hardware into ML pipelines (e.g., GB200, NVLink, etc.).

🎯 Requirements

• BS/MS in Computer Science, Engineering, or equivalent experience. • 5+ years in software/platform engineering or SRE roles, including 3+ years focused on ML infrastructure or distributed compute systems. • Strong proficiency in Infrastructure-as-Code (IaC) tools, specifically Ansible and Terraform, with a proven track record of building and managing production infrastructure. • SRE-oriented mindset with extensive experience in diagnosing system-level issues, performance tuning, and ensuring platform reliability. • Solid understanding of ML workflows and lifecycle—from data preprocessing to deployment. • Proficiency in operating containerized workloads with Kubernetes and Docker. • Strong software engineering skills in languages such as Python or Go, with a focus on automation, tooling, and writing production-grade code. • Experience with Linux systems internals, networking, and performance tuning at scale.

🏖️ Benefits

• equity • benefits