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Engineering Manager - AI DevOps jobs in United States
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NVIDIA · 1 month ago

Engineering Manager - AI DevOps

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.
Artificial Intelligence (AI)SemiconductorConsumer GoodsHardwareSoftwareAppsAI InfrastructureConsumer ElectronicsFoundational AIGPUVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Bushra S.
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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

Qualification

AI inference infrastructureInfrastructure as CodeCI/CD pipeline developmentTest automation frameworksKubernetesTerraformAnsiblePythonMonitoring toolsEffective interpersonal skillsTeam leadership

Required

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

Preferred

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

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase