1

Ai Infrastructure Jobs in Dallas, OR (NOW HIRING)

... cloud-native infrastructure. This is an excellent opportunity for talented engineers who are ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

About The Role The AI innovation team at Agility works on building and deploying next-generation ... Develop core reinforcement learning infrastructure, including scalable training pipelines and ...

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

About The Role The AI innovation team at Agility works on building and deploying next-generation ... Develop core reinforcement learning infrastructure, including scalable training pipelines and ...

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

About The Role The AI innovation team at Agility works on building and deploying next-generation ... Develop core reinforcement learning infrastructure, including scalable training pipelines and ...

Senior AI Research Engineer

Salem, OR · On-site

$195K - $304K/yr

About The Role The AI innovation team at Agility works on building and deploying next-generation ... Develop core reinforcement learning infrastructure, including scalable training pipelines and ...

... Infrastructure. Company : InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is ...

Senior Systems Engineer

Newberg, OR · On-site

$110 - $150/hr

Designing and implementing Infrastructure as a Service * Designing and implementing cloud services ... Experience working with Gemini and other AI systems. * Experience working with virtualization ...

next page

Showing results 1-20

Ai Infrastructure information

See Dallas, OR salary details

$28

$59

$87

How much do ai infrastructure jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai infrastructure in Dallas, OR is $59.29, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $69.13 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What cities near Dallas, OR are hiring for Ai Infrastructure jobs?

Cities near Dallas, OR with the most Ai Infrastructure job openings:

Infographic showing various Ai Infrastructure job openings in Dallas, OR as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $123,323 per year, or $59.3 per hour.

Senior Manager - AI Network Engineering

Ll Oefentherapie

Salem, OR • On-site

$213 - $355/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

  • Job Identification 343790
  • Job Category Product Development
  • Posting Date 09/01/2026, 11:45 PM
  • Role People Manager
  • Job Type Regular Employee
  • Does this position require a security clearance? No
  • Years 10+ years
  • Applicants are required to read, write, and speak the following languages English
Job Description

Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc.

Responsibilities
  • Lead the end-to-end NPI lifecycle for current and next-generation high-performance NICs supporting OCI GPU and AI infrastructure, including architecture, qualification, performance, reliability, and production readiness.
  • Partner with NIC, GPU, silicon, and systems vendors and internal OCI teams to bring new networking technologies from early development through large-scale fleet deployment.
  • Build and lead the engineering organization responsible for OCI’s Collective Communication Library (CCL), defining its architecture, technical strategy, and performance roadmap.
  • Drive optimization of collective communication, RDMA, GPU networking, and topology-aware algorithms across servers, racks, clusters, and AI superclusters.
  • Own GPU cluster networking performance and develop benchmarking, modeling, and performance-analysis capabilities to identify and eliminate hardware and software bottlenecks.
  • Drive hardware/software co-design across NICs, firmware, drivers, network fabrics, runtimes, and collective communication software.
  • Establish automated qualification, regression, performance, reliability, and fault-testing processes to ensure cloud-scale production readiness.
  • Build and develop a high-performing engineering organization spanning NIC NPI, networking software, collective communications, systems, performance engineering, and validation.
  • Lead complex cross-functional programs, establish technical roadmaps and engineering metrics, manage external technology partnerships, and communicate technical strategy, risks, and results to senior OCI leadership.
Qualifications
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • 15+ years of experience in systems, networking, distributed computing, HPC, GPU infrastructure, or related areas.
  • Significant experience leading engineering teams responsible for complex hardware/software systems.
  • Deep expertise in high-performance networking, including Ethernet, RDMA, RoCE, PCIe, DMA, and modern NIC architectures.
  • Strong knowledge of GPU systems, distributed GPU communication, collective communication algorithms, and large-scale distributed training or HPC systems.
  • Experience taking new hardware technologies from early engineering stages through qualification and large-scale production deployment.
  • Strong systems performance-analysis skills across hardware, firmware, operating systems, networking, runtimes, and applications.
  • Experience working with silicon vendors and leading complex cross-functional engineering programs.
  • Excellent technical and executive communication skills.
  • Experience with technologies such as NCCL, MPI, UCX, RDMA, RoCEv2, GPUDirect RDMA, CUDA, SmartNICs/DPUs, NIC firmware/drivers, congestion control, and large-scale AI cluster networking is highly desirable. Experience with GPU clusters containing thousands to tens of thousands of accelerators is strongly preferred.
Qualifications

Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $169,800 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

  • Medical, dental, and vision insurance, including expert medical opinion
  • Short term disability and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) Savings and Investment Plan with company match
  • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
  • 11 paid holidays
  • Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - M3

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.

Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

#J-18808-Ljbffr