NVIDIA is seeking a ML Platform Engineer to enhance its high-performance machine learning infrastructure. The role focuses on architecting, building, and scaling automated platforms that facilitate the training and deployment of advanced ML models. The engineer will apply SRE and software engineering skills to create user-friendly platforms for ML development. This position offers the opportunity to work with cutting-edge GPU technologies and collaborate with researchers to meet their infrastructure needs.

• 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.
• SRE-oriented mindset with extensive experience in diagnosing system-level issues and ensuring platform reliability.
• Solid understanding of ML workflows and lifecycle.
• 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.

• Design, build, and maintain core ML platform infrastructure as code using Ansible and Terraform.
• Apply SRE principles to diagnose, troubleshoot, and resolve complex system issues.
• Develop robust internal automation and tooling for ML workflow orchestration and platform operations.
• Collaborate with ML researchers and applied scientists to understand infrastructure needs.
• Evolve and operate multi-cloud and hybrid environments, implementing monitoring and incident response protocols.
• Participate in on-call rotation to support platform services and infrastructure.
• Write high-quality, maintainable code to contribute to the core orchestration platform.
• Drive the adoption of modern GPU technologies and ensure integration of next-generation hardware.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.