Senior ML Platform Engineer

Job not on LinkedIn

November 4

🏄 California – Remote

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

⛰️ Colorado – Remote

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

+2 more states

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

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

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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

• Design, build, and maintain our core ML platform infrastructure as code, primarily using Ansible and Terraform • Apply SRE principles to diagnose, troubleshoot, and resolve complex system issues across the entire stack • Develop robust internal automation and tooling for ML workflow orchestration, resource scheduling, and platform operations • Collaborate with ML researchers and applied scientists to understand infrastructure needs • Evolve and operate our multi-cloud and hybrid (on-prem + cloud) environments • Participate in on-call rotation to provide support for platform services and infrastructure • Write high-quality, maintainable code (Python, Go) to contribute to the core orchestration platform • Drive the adoption of modern GPU technologies and ensure smooth integration of next-generation hardware into ML pipelines.

🎯 Requirements

• BS/MS in Computer Science, Engineering, or equivalent experience • 8+ 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 • 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 • Experience with Linux systems internals, networking, and performance tuning at scale.

🏖️ Benefits

• equity • benefits