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Data Crowd Compute Jobs in Florida (NOW HIRING)

Avow Care Services

CLINICAL SOCIAL WORK INTERN

Naples, FL · On-site

$60K - $65K/yr

Collect grant-related data and prepare reports as needed. * Build relationships with schools ... Complete and remain active as a crowd control manager. * Independently participate in the "A Vow to ...

Avow Hospice

CLINICAL SOCIAL WORK INTERN

Naples, FL · On-site

Collect grant-related data and prepare reports as needed. * Build relationships with schools ... Complete and remain active as a crowd control manager. * Independently participate in the "A Vow to ...

All JobsData Crowd Compute JobsData Crowd Compute Jobs in Florida

Data Crowd Compute information

What are the typical challenges faced in a Data Crowd Compute position?

Professionals in Data Crowd Compute roles often handle vast volumes of data that require creative and efficient processing solutions, which can present scalability and performance challenges. Coordinating compute tasks across distributed environments demands attention to system reliability, cost optimization, and data integrity. Team members frequently collaborate with data scientists, engineers, and stakeholders to prioritize workloads and deliver timely results. Overcoming these challenges not only sharpens technical expertise but also positions you for advancement into senior or specialized technology roles.

What are the key skills and qualifications needed to thrive in the Data Crowd Compute position, and why are they important?

To thrive in a Data Crowd Compute role, you need a solid grounding in data analysis, familiarity with large-scale distributed computing, and a relevant technical degree or equivalent experience. Experience using cloud platforms like AWS, Azure, or Google Cloud, as well as tools such as Apache Hadoop or Spark, is highly valued. Strong problem-solving skills, attention to detail, and collaborative communication abilities help professionals excel in this position. These competencies are crucial for managing complex datasets, optimizing compute resources, and driving actionable insights within rapidly evolving data-driven environments.

What is a Data Crowd Compute?

A Data Crowd Compute job involves distributing computational tasks across a large number of people or devices to process data efficiently. This type of work is often used in AI training, data annotation, or large-scale problem-solving. Workers contribute by performing small tasks that collectively build a larger solution. These jobs are common in machine learning, crowdsourcing, and distributed computing projects.

What are popular job titles related to Data Crowd Compute jobs in Florida? For Data Crowd Compute jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Crowd Compute jobs in Florida look for? The top searched job categories for Data Crowd Compute jobs in Florida are:
What cities in Florida are hiring for Data Crowd Compute jobs? Cities in Florida with the most Data Crowd Compute job openings:
Data Crowd Compute jobs near you
Infographic showing various Data Crowd Compute job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior HPC and AI Cluster Administrator

Accenture Federal Services

Tampa, FL

$81K - $110K/yr

Other

Re-posted 20 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 482 rated business services

Job description

AFS is looking for a Senior HPC and AI Cluster Administrator to support software and data solutions for our customers. We are integrating supercomputers and AI clusters based on existing technologies. We are looking for a system administrator to be a key player to enable artificial intelligence and GPU computing solutions. 

You will work with many scientific researchers, developers, and customers to create improved workflows and develop unique solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.  

Key Responsibilities: 

  • Design, Deploy, and maintain HPC/AI clusters 
  • Manage AI jobs workflows using various scheduling technology, such as Kubernetes. 
  • Support and maintain continuous integration and delivery pipelines 
  • Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level 
  • Support Research, Development and Operational activities. 

Basic Qualifications: 

  • Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience 
  • 5 years of experience in any of the following:
    • Knowledge of HPC and AI solution technologies to include hardware, hypervisors, CPU's and GPU's. 
    • Experience with job scheduling workloads and orchestration tools such as Slurm & K8s 
    • Excellent knowledge of Linux (i.e. Redhat, Ubuntu) networking (Routing, Switching) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc. 
    • Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies. 
    • Automation and configuration management tools such as Python, Bash within a Gitops workflows. 
    • Knowledge of Networking Protocols like InfiniBand, Ethernet 
    • Experience with private cloud platforms (for example VMware, Hyper-V, KVM, Openshift and Nutanix) 
    • Familiarity with public cloud computing platforms (e.g. AWS, Azure) 
  • Must possess and maintain required DoD 8140 certifications. 

Ways to stand out from the crowd: 

  • Knowledge of GPU architectures, time-slicing, Multi-instance GPU (MIG) 
  • Experience with container orchestration technologies i.e. Kubernetes, Docker 
  • Experience designing, deploying AI workflow technologies such as Apache Airflow, Prefect, Dagster. 
  • Background with RDMA (InfiniBand or RoCE) fabrics 
  • Experience working in regulated industries and applying compliance requirements (i.e. DISA STIG, CIS etc.) 
  • NVIDIA Certifications (AI Infrastructure, AI Operations, AI networking) 
  • VMWARE Certifications (Certified Professional / Advanced Professional) 

Clearance

  • An active TS/SCI federal security clearance is required

What Accenture Federal Services employees say

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Hours and flexibility

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