ZipRecruiter

Log In

Data Direct Networks

60 Data Direct Networks Jobs Hiring Near You

Data Direct Networks

Digital Marketing Lead

New York, NY · On-site

$150K - $180K/yr

Location; New York Office - hybrid working model The Opportunity We're looking for a bold, commercially-minded digital marketing leader who wants more than another optimization role. This is an ...

CML Security

IP Video Technician

Avondale, AZ · On-site

Data Direct Networks (DDN) Storage * Network Appliance (Netapp) Storage * Dell Isilon Storage Support * Solid customer relation skills and the ability to excel under pressure * Excellent written and ...

CML Security

IP Video Technician

Avondale, AZ · On-site

Data Direct Networks (DDN) Storage * Network Appliance (Netapp) Storage * Dell Isilon Storage Support * Solid customer relation skills and the ability to excel under pressure * Excellent written and ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Scale for Hospital Networks: Architect data solutions designed to scale across federated networks ... Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient ...

Tempus

NY · On-site

$140 - $200/hr

Scale for Hospital Networks: Architect data solutions designed to scale across federated networks ... Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient ...

Tempus

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

Scale for Hospital Networks: Architect data solutions designed to scale across federated networks ... Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient ...

Tempus

Data Architect, Next Platform

Chicago, IL · On-site

$150K - $200K/yr

Scale for Hospital Networks: Architect data solutions designed to scale across federated networks ... Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient ...

Tempus

Data Architect, Next Platform

Chicago, IL · On-site +1

$150K - $200K/yr

Scale for Hospital Networks: Architect data solutions designed to scale across federated networks ... Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient ...

Socket.dev

Senior Software Developer

Springfield, VA · On-site

$130 - $180/hr

... networks. * Full-Lifecycle Development: Maintain robust CI/CD pipelines, practice DevSecOps (code ... AI & Data: Direct experience building LLM-enabled workflows, RAG systems, RESTful APIs, and ...

AppLogic Networks

$150 - $230/hr

August 17, 2026 * Full-Time * Remote Locations Showing 1 location AppLogic Networks powers the ... We're seeking a visionary Cloud Data Center Product Management Director to transform emerging ...

Posted today

previous page

Showing results 41-60

All JobsData Direct Networks Jobs

Data Direct Networks Jobs Information

Infographic showing various job openings at Data Direct Networks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 77% Physical, and 23% Remote job distribution.

Senior/Staff AI Engineer

Data Direct Networks

California, MO • On-site

$150 - $230/hr

Other

Medical, Dental, Vision, PTO

Posted 18 days ago

Job description

We’re Looking for the Best and Brightest

We are the world’s leading data intelligence platform that reliably accelerates massive datasets for actionable real-time insights. Join our team to help the best and brightest minds tackle the world’s biggest challenges in business, science, medicine, academia and government.

What you’ll do

Build and optimize LLM serving and inference systems for production environments.

Improve performance across GPU and CPU pathways.

Work on KV cache, memory, storage, and throughput bottlenecks.

Design and scale systems that support RAG and retrieval-heavy AI workloads.

Contribute to infrastructure where storage architecture and systems efficiency materially affect AI performance.

Solve engineering problems at the intersection of AI, high-performance systems, and distributed infrastructure.

What we’re looking for

An engineer who has spent meaningful time building or optimizing production AI systems, not just experimenting with models.

Someone who understands how inference performance is shaped by the interaction between compute, memory, storage, and serving architecture.

Deep hands‑on experience working close to the systems layer— for example, improving how workloads run across GPU and CPU resources, reducing bottlenecks, or tuning infrastructure for better throughput and latency.

Evidence of real ownership in areas like model serving, retrieval, caching, storage, or distributed performance, rather than purely application-layer AI work.

The ability to move comfortably between architecture decisions and hands‑on implementation, especially in environments where efficiency and scale matter.

A background that suggests you can operate in technically demanding environments, whether that comes from AI infrastructure, high-performance systems, storage platforms, or adjacent distributed systems work.

PhD preferred, but far less important than having built serious systems in the real world.

Why this role is compelling

This is not a “prompt engineering” job.

This is not an “AI wrapper” job.

This is not a generic backend role with AI sprinkled on top.

This is a chance to work on the infrastructure that determines whether modern AI systems are fast, scalable, efficient, and commercially viable.

If you want to work on the real mechanics of AI performance—serving, retrieval, compute efficiency, memory behavior, storage architecture, and inference at scale—this is where that work happens.

Who will love this role

Engineers who enjoy deep systems problems.

Builders who care about performance, scale, and architecture.

People who want to work where AI meets infrastructure.

Candidates who would rather solve hard technical bottlenecks than ship surface-level AI features.

Who should not apply

This role is not for:

Purely academic researchers without meaningful production ownership.

Generic software engineers without clear AI systems or inference depth.

Candidates focused mainly on prompt engineering or lightweight application integrations.

MLOps generalists who have not worked deeply on serving, storage, or performance-critical AI systems.

Employment Type

Full time

Location Type

On-site

Benefits
  • Highly Competitive Vacation Plans
  • Paid Holidays
  • Bonus Programs
  • Tuition Reimbursement
  • Employee Referral Program
  • Excellent Medical, Dental and Vision Benefits
  • Paid Leave Programs
  • Anniversary and Recognition Awards
#J-18808-Ljbffr

Apply