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AI Operations & Infrastructure Engineer

Invictus International Consulting

Fort Meade, Maryland • Today

Full-time

USD 175,000.00 - 200,000.00 per year

Senior AI Infrastructure & Platform Operations Engineer (remote in the US)

Mirantis Inc

Remote • Today

Full-time

AI Infrastructure & Platform Operations Engineer (remote in the US)

Mirantis Inc

Remote • Today

Full-time

Software Engineer (AI Infrastructure)

Visionist

Laurel, Maryland • Today

Full-time

USD 115,000.00 - 160,000.00 per year

Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL Network Services

Remote or Dallas, Texas • Today

Full-time

Staff Platform Engineer (AI/ML Infrastructure)

Siro Clinpharm Pvt Ltd

Remote • 7d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Cyber Operations Engineer - Artificial Intelligence

The MITRE Corporation

McLean, Virginia • Today

Full-time

USD 158,800.00 - 198,500.00 per year

Sr. DevOps Cloud Engineer (AWS, Google Cloud Platform, AI Platform) only w2

Vigna Solutions Inc.

Hybrid in Bethesda, Maryland • 2d ago

Easy Apply

Contract

65 - 70

Cloud/Infrastructure Engineer - DHA

Social Security Administration

Woodlawn, Maryland • Today

Full-time

USD 107,446.00 - 139,684.00 per year

Machine Learning & AI Infrastructure Engineer

Kforce Technology Staffing

Remote or Austin, Texas • Today

Full-time

$175,000 - $200,000 annually

Machine Learning Operations (MLOps) Engineer

UMBC/THE HILLTOP INSTITUTE

College Park, Maryland • Today

Full-time

USD 150,000.00 per year

Generative AI Cloud Operations Engineer - Evinova

AstraZeneca

Gaithersburg, Maryland • Today

Full-time

USD 134,866.40 - 202,299.60 per year

AI Infrastructure Engineer - Emerging Technologies

Cologix, Inc

Remote or Dallas, Texas • Today

Full-time

Staff Engineer, Distributed Storage and HPC & AI Infrastructure

Together AI

Remote or San Francisco, California • Today

Full-time

USD 250,000.00 - 300,000.00 per year

Senior Solutions Engineer, AI Infrastructure

VAST Data

Remote or New York • Today

Full-time

Top Secret Security Software Engineer - DHA

Social Security Administration

Woodlawn, Maryland • Today

Full-time

USD 111,147.00 - 158,322.00 per year

Linux Systems Administrator - Secret Clearance required

General Dynamics

Arlington, Virginia • Today

Full-time

USD 131,750.00 - 178,250.00 per year

AWS Cloud Infrastructure Engineer

NCI Information Systems, Inc.

Suitland-Silver Hill, Maryland • Today

Full-time

USD 140,630.00 per year

Observability Operations Engineer

Stanley David and Associates

Remote • 2d ago

Easy Apply

Full-time

$90000 - $120000

Senior Lead Software Engineer - Network Infrastructure and Automation

Nightwing

Annapolis, Maryland • Today

Full-time

USD 122,000.00 - 253,000.00 per year

Service Management System Engineer

SAIC

Washington, District of Columbia • Today

Full-time

USD 120,001.00 - 160,000.00 per year

Sr. Linux Systems Engineer (TS/Q Clearance Required)

General Dynamics

Germantown, Maryland • Today

Full-time

USD 142,792.00 - 178,250.00 per year

DevOps/AI Engineer

The MITRE Corporation

McLean, Virginia • Today

Full-time

USD 129,200.00 - 161,500.00 per year

AI Platform Engineer - Senior

ARSIEM

Columbia, Maryland • Today

Full-time

DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML)

General Dynamics

Annapolis, Maryland • Today

Full-time

USD 161,500.00 - 218,500.00 per year

AI/ML Engineer

Booz Allen Hamilton

Fort Meade, Maryland • Today

Full-time

USD 99,000.00 - 225,000.00 per year

AI Platform Engineer

RSC2, Inc

Maryland • Today

Full-time

USD 90,538.00 - 211,187.00 per year

Principal Cyber Operations Engineer

The MITRE Corporation

McLean, Virginia • Today

Full-time

USD 172,800.00 - 216,000.00 per year

TOC Engineer

General Dynamics

Bethesda, Maryland • Today

Full-time

USD 29.52 - 34.50 per hour

Senior AI Engineer

IntelliGenesis LLC

Annapolis, Maryland • Today

Full-time

USD 175,000.00 - 220,000.00 per year

Job Details

Skills

Scheduling
Machine Learning (ML)
Network Protocols
Data Storage
Data Centers
Technical Support
Collaboration
BMC
Total Productive Maintenance
TPM
Servers
Information Governance
Operating Systems
Benchmarking
Cabling
Firmware
Network
Computer Hardware
Reporting
Data Processing
Stacks Blockchain
Orchestration
Docker
Kubernetes
GPU
MIG
Management
Storage
Artificial Intelligence
Computer Networking
InfiniBand
Ethernet
Security Clearance
Continuous Integration

Scheduling
Machine Learning (ML)
Network Protocols
Data Storage
Data Centers
Technical Support
Collaboration
BMC
Total Productive Maintenance
TPM
Servers
Information Governance
Operating Systems
Benchmarking
Cabling
Firmware
Network
Computer Hardware
Reporting
Data Processing
Stacks Blockchain
Orchestration
Docker
Kubernetes
GPU
MIG
Management
Storage
Artificial Intelligence
Computer Networking
InfiniBand
Ethernet
Security Clearance
Continuous Integration

Summary

Title: AI Operations & Infrastructure Engineer

Location: Fort Meade, MD

Clearance: TS/SCI with a CI Polygraph

Job Details:

Manage and maintain AI computing platforms, including GPUs and other specialized hardware
Install and configure GPU drivers and software
Oversee the AI software stack and tools
Implement and manage containerization technologies like Docker and Kubernetes
Configure and optimize networking infrastructure for AI workloads, including InfiniBand and Ethernet
Manage storage solutions for AI data, considering performance and capacity requirements
Deploy and manage data processing units (DPUs) to accelerate data center workloads
Monitor and manage AI cluster health and resource utilization
Implement workload management and scheduling tools like Slurm and Kubernetes
Ensure efficient power and cooling for AI infrastructure to maintain optimal operating conditions
Configure high-performance networking solutions for AI and machine learning workloads
Optimize network performance to ensure maximum throughput and minimal latency for AI computations
Implement and fine-tune network protocols to enhance data transfer speeds and efficiency
Integrate NVIDIA networking products with existing AI infrastructure, including servers, GPUs, and storage systems
Deploy networking solutions in data centers to ensure seamless connectivity between AI components
Diagnose and resolve networking issues impacting AI workloads to maintain optimal system performance
Provide technical support and guidance to teams managing AI infrastructure
Collaborate with data scientists, researchers, and IT professionals to understand networking requirements and challenges
Lead deployment and validation of servers and systems for AI enabled platforms
Configure and manage network topologies, BMC, OOB, TPM, power, and cooling
Install, upgrade, and validate GPU-based servers, BlueField DPUs, cables, and transceivers
Perform firmware upgrades, hardware validation, and storage setup
Configure and administer physical and logical resources, including M IG partitioning and BlueField platforms
Install and configure operating systems, cluster software, drivers, containers (Docker), and NCLI
Manage and orchestrate clusters using NVIDIA Base Command Manager, Slurm, Pyxis, Enroot, and Run: Ai
Perform stress, benchmarking, and burn-in tests using HPL, NCCL, NVIDIA Nemo, and ClusterKit
Verify cabling, firmware/software versions, and network signal quality
Troubleshoot and resolve hardware, software, storage, and performance faults
Replace faulty components and optimize systems for AMD/Intel platforms
Monitor, document, and report on cluster health, resource usage, and job performance
Ensure secure, efficient, and scalable operation of NVIDIA AI infrastructure, including user access and workload management

Requirements:

Qualified candidates must hold an active NVIDIA Professional Certification in either AI Networking, AI Infrastructure, or AI Operations
Prior direct, hands-on professional experience administering NVIDIA GPU and data processing unit (DPU) technologies, AI software stacks, and data center environments for high-performance AI workloads
Comprehensive expertise in deploying and maintaining AI compute platforms, requiring proficiency in containerization and workload orchestration using Docker, Kubernetes, Slurm, NVIDIA Base Command Manager, and Run:Ai
Must be capable of configuring physical and logical resources, including Multi-Instance GPU (MIG) partitioning and BlueField platforms, while overseeing critical facility elements such as power, cooling, and storage solutions
The ability to demonstrate advanced skills in AI networking, specifically configuring and optimizing high-performance InfiniBand and Ethernet fabrics to ensure maximum throughput and minimal latency
Current active TS/SCI clearance with a CI Polygraph

Equal Opportunity Employer/Veterans/Disabled

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90789821
Position Id: 60d4cd2ec352d15732c45dffc32f90ab
Posted 30+ days ago

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Similar Jobs

Software Engineer (AI Infrastructure)

Columbia, Maryland

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Residency All applicants must reside in the United States at the time of application. Overview BigBear.ai is seeking a Software Engineer to support our AI infrastructure team. In this role, you'll help build and maintain the platform that provides the foundation for the customer's AI capabilities, focusing on inference services while supporting the broader ecosystem of AI-enabled applications. This role is intended for experienced engineers who can independently design, implement, and operate

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Graphics Processing Unit (GPU) Engineer - TS/SCI

Bethesda, Maryland

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Location: Bethesda, MD Category: Systems Engineering Travel Required: No Remote Type: No Clearance: TS/SCI Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers. This is a 100% on-site position. Responsibilities: GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Colla

Full-time

USD 131,300.00 - 237,350.00 per year

GPU Systems Engineer 4

Bethesda, Maryland

•

Today

Requisition ID: 3513Standard Title: Senior GPU Systems EngineerRequired Security Clearance: Top Secret/SCILocation: Bethesda, MDWork Type: On-SiteShift: FirstReferral Eligibility: EligibleU.S. Citizenship Required? Yes Position Summary Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment. Essential Duties and Responsibilities Design, c

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GPU Systems Engineer 3

Bethesda, Maryland

•

Today

Requisition ID: 3514Standard Title: GPU Systems EngineerRequired Security Clearance: Top Secret/SCILocation: Bethesda, MDWork Type: On-SiteShift: FirstReferral Eligibility: EligibleU.S. Citizenship Required? Yes Position Summary Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment. Essential Duties and Responsibilities Design, configur

Full-time

Job Details

Skills

Scheduling
Machine Learning (ML)
Network Protocols
Data Storage
Data Centers
Technical Support
Collaboration
BMC
Total Productive Maintenance
TPM
Servers
Information Governance
Operating Systems
Benchmarking
Cabling
Firmware
Network
Computer Hardware
Reporting
Data Processing
Stacks Blockchain
Orchestration
Docker
Kubernetes
GPU
MIG
Management
Storage
Artificial Intelligence
Computer Networking
InfiniBand
Ethernet
Security Clearance
Continuous Integration

Scheduling
Machine Learning (ML)
Network Protocols
Data Storage
Data Centers
Technical Support
Collaboration
BMC
Total Productive Maintenance
TPM
Servers
Information Governance
Operating Systems
Benchmarking
Cabling
Firmware
Network
Computer Hardware
Reporting
Data Processing
Stacks Blockchain
Orchestration
Docker
Kubernetes
GPU
MIG
Management
Storage
Artificial Intelligence
Computer Networking
InfiniBand
Ethernet
Security Clearance
Continuous Integration

Summary

Title: AI Operations & Infrastructure Engineer

Location: Fort Meade, MD

Clearance: TS/SCI with a CI Polygraph

Job Details:

Manage and maintain AI computing platforms, including GPUs and other specialized hardware
Install and configure GPU drivers and software
Oversee the AI software stack and tools
Implement and manage containerization technologies like Docker and Kubernetes
Configure and optimize networking infrastructure for AI workloads, including InfiniBand and Ethernet
Manage storage solutions for AI data, considering performance and capacity requirements
Deploy and manage data processing units (DPUs) to accelerate data center workloads
Monitor and manage AI cluster health and resource utilization
Implement workload management and scheduling tools like Slurm and Kubernetes
Ensure efficient power and cooling for AI infrastructure to maintain optimal operating conditions
Configure high-performance networking solutions for AI and machine learning workloads
Optimize network performance to ensure maximum throughput and minimal latency for AI computations
Implement and fine-tune network protocols to enhance data transfer speeds and efficiency
Integrate NVIDIA networking products with existing AI infrastructure, including servers, GPUs, and storage systems
Deploy networking solutions in data centers to ensure seamless connectivity between AI components
Diagnose and resolve networking issues impacting AI workloads to maintain optimal system performance
Provide technical support and guidance to teams managing AI infrastructure
Collaborate with data scientists, researchers, and IT professionals to understand networking requirements and challenges
Lead deployment and validation of servers and systems for AI enabled platforms
Configure and manage network topologies, BMC, OOB, TPM, power, and cooling
Install, upgrade, and validate GPU-based servers, BlueField DPUs, cables, and transceivers
Perform firmware upgrades, hardware validation, and storage setup
Configure and administer physical and logical resources, including M IG partitioning and BlueField platforms
Install and configure operating systems, cluster software, drivers, containers (Docker), and NCLI
Manage and orchestrate clusters using NVIDIA Base Command Manager, Slurm, Pyxis, Enroot, and Run: Ai
Perform stress, benchmarking, and burn-in tests using HPL, NCCL, NVIDIA Nemo, and ClusterKit
Verify cabling, firmware/software versions, and network signal quality
Troubleshoot and resolve hardware, software, storage, and performance faults
Replace faulty components and optimize systems for AMD/Intel platforms
Monitor, document, and report on cluster health, resource usage, and job performance
Ensure secure, efficient, and scalable operation of NVIDIA AI infrastructure, including user access and workload management

Requirements:

Qualified candidates must hold an active NVIDIA Professional Certification in either AI Networking, AI Infrastructure, or AI Operations
Prior direct, hands-on professional experience administering NVIDIA GPU and data processing unit (DPU) technologies, AI software stacks, and data center environments for high-performance AI workloads
Comprehensive expertise in deploying and maintaining AI compute platforms, requiring proficiency in containerization and workload orchestration using Docker, Kubernetes, Slurm, NVIDIA Base Command Manager, and Run:Ai
Must be capable of configuring physical and logical resources, including Multi-Instance GPU (MIG) partitioning and BlueField platforms, while overseeing critical facility elements such as power, cooling, and storage solutions
The ability to demonstrate advanced skills in AI networking, specifically configuring and optimizing high-performance InfiniBand and Ethernet fabrics to ensure maximum throughput and minimal latency
Current active TS/SCI clearance with a CI Polygraph

Equal Opportunity Employer/Veterans/Disabled

Dice Id: 90789821
Position Id: 60d4cd2ec352d15732c45dffc32f90ab
Posted 30+ days ago

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Software Engineer (AI Infrastructure)

Columbia, Maryland

•

Today

Full-time

Graphics Processing Unit (GPU) Engineer - TS/SCI

Bethesda, Maryland

•

Today

Full-time

USD 131,300.00 - 237,350.00 per year

GPU Systems Engineer 4

Bethesda, Maryland

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GPU Systems Engineer 3

Bethesda, Maryland

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Today

Full-time