Be an early applicantLess than 25 applicants

Company

NVIDIA · 5 hours ago

Senior AI and ML Infra Engineer, Research Clusters

Texas, United States

Full-time

Remote

Senior Level, Lead/Staff

$220K/yr - $420K/yr

12+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Deepika Yammanur (she/her/hers)

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Responsibilities

Work closely with our research teams to comprehend their infrastructure requirements and challenges, translating those observations into actionable enhancements.

Design and implement solutions for critical areas such as storage management for datasets and logs, error attribution, and core reliability issues within our large scale GPU clusters.

Continuously monitor and optimize the performance of our AI/ML infrastructure, ensuring high availability, scalability, and efficient resource utilization.

Create and deploy automation tools, monitoring solutions, and effective operational strategies to simplify infrastructure management and minimize manual tasks.

Help define and enhance important measures of AI researcher productivity, ensuring that our actions are in line with measurable results.

Collaborate with diverse teams, including researchers, data engineers, and DevOps professionals, to create a seamless and integrated AI/ML infrastructure ecosystem.

Keep abreast of the latest advancements in AI/ML infrastructure technologies, frameworks, and effective strategies, and promote their implementation within the company.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML infrastructureDistributed systemsPythonCloud computingContainerizationAutomation toolsMonitoring solutionsAI/ML workflowsGoC++DockerKubernetesAnsibleTerraformPrometheusGrafanaCollaboration skills

Required

BS or equivalent experience (MS preferred) in Computer Science or related with 12+yrs of relevant experience

Strong background in software engineering, with experience in building and maintaining large-scale distributed systems, preferably in the context of AI/ML infrastructure.

Proficiency in programming languages such as Python, Go, or C++, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).

Hands-on experience with containerization technologies (e.g., Docker, Kubernetes), automation tools (e.g., Ansible, Terraform), and monitoring solutions (e.g., Prometheus, Grafana).

Understanding of AI/ML workflows, including data processing, model training, and inference pipelines.

Excellent problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions.

Excellent communication and collaboration skills, with the ability to work effectively with diverse teams and individuals.

Enthusiasm for continual learning and keeping abreast of emerging technologies and effective approaches in the AI/ML infrastructure field.

Benefits

Comprehensive benefits package

Equity

Company

NVIDIA

Glassdoor

4.6

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

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

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

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Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)