[Remote] Engineering Manager - AI DevOps

Note: The job is a remote job and is open to candidates in USA. NVIDIA is looking for an outstanding AI DevOps Engineering Manager to lead and expand their next-gen inference operations infrastructure. This role is essential for transforming AI inference delivery and ensuring that NVIDIA's AI products achieve outstanding performance and reliability worldwide. Responsibilities • Supervise a team of DevOps engineers with expertise in AI inference infrastructure, test automation (SDET), and Infrastructure as Code (IaC) • Architect and implement scalable test automation strategies for AI inference workloads, including performance benchmarking and automated quality gates • Lead the maintenance of our GitHub First public CI infrastructure, focusing on single/multi-GPU testing, Kubernetes multi-node GPU testing, and CSP validation • Drive Infrastructure as Code efforts by employing Terraform, Ansible, and Kubernetes to support scaling across multiple clouds and lead GPU clusters effectively • Attain operational proficiency encompassing 24x7 on-call rotations, SRE methodologies, automated monitoring, and self-repairing systems to guarantee uptime exceeding 99.9% • Lead release coordination, cost optimization, and management of multi-cloud deployments Skills • Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience • 4+ years leading DevOps/SRE organizations with direct SDET leadership experience • 8+ years hands-on experience in software development, test automation, or infrastructure engineering with AI/ML or GPU-intensive workloads • Proficiency in Infrastructure as Code (IaC) platforms: Terraform, Ansible, or CloudFormation with exposure to multiple cloud environments (AWS, GCP, Azure, OCI) • Strong technical leadership in test automation frameworks, CI/CD pipeline development, and quality engineering practices • Familiarity with containerization and orchestration tools such as Docker and Kubernetes for leading AI/ML workloads and GPU resources • Proven success building and scaling teams in fast-paced, high-growth environments • Effective interpersonal skills to collaborate with remote teams and build agreement • Proficiency in Python, Rust, or related programming languages along with the capability to engage in architecture conversations • Demonstrated history of operational proficiency encompassing 24x7 on-call oversight, SRE methodologies, and robust high-availability infrastructures • Experience with CI/CD (specifically GitHub Actions), releasing Open-source AI software • Proficient in Deep AI/ML infrastructure with expertise in NVIDIA technologies such as CUDA, TensorRT, Dynamo and Triton Inference Server, including coordinating GPU cluster operations and GPU workload performance benchmarking • Background in DevOps, system software testing, and previous experience leading teams on inference engines, model serving platforms, or AI acceleration frameworks • Track record with monitoring tools (Prometheus, Grafana), security scanning, static/dynamic analysis tools, and license compliance automation for critical AI inferencing frameworks Benefits • Equity • Benefits Company Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1418 in 2025, 1356 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job