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Internship Ai Infrastructure Engineer Jobs in Romeoville, IL

Jump Trading

AI Infrastructure Engineer

Chicago, IL · On-site

$200K - $250K/yr

AI Infrastructure Engineer Chicago, New York Jump Trading Group is committed to world class research. We empower exceptional talent across the mathematical and computational sciences to push past ...

Salesforce, Inc.

Lead Infrastructure Engineer

Chicago, IL · On-site

$172.50K - $260.10K/yr

Agentforce is the future of AI, and you are the future of Salesforce. Applications will be accepted until 06/30/2026. IT Infrastructure M&A Lead Engineer Overview Salesforce is seeking an experienced ...

Salesforce.Com Inc

Lead Infrastructure Engineer

Chicago, IL · On-site

$110.80K - $145.40K/yr

Agentforce is the future of AI, and you are the future of Salesforce. Applications will be accepted until 06/30/2026. IT Infrastructure M&A Lead Engineer Overview Salesforce is seeking an experienced ...

Simplex Trading

Infrastructure Engineer

Chicago, IL · On-site

$125K - $200K/yr

Infrastructure Engineer Our employees are truly our greatest asset. We have spent years building a ... For all job postings, Simplex may use AI to review and analyze applications, resumes, interviews ...

ICONMA

Cloud Infrastructure Engineer

Lisle, IL · Remote

$106K - $139K/yr

Implement and manage Infrastructure as Code (IaC) using Terraform to deliver repeatable and ... Experience implementing AI thoughtfully across platform engineering and application teams. Why ...

Yantran LLC

Cloud Infrastructure Engineer

Lisle, IL · Remote

$106K - $139K/yr

Job Title: Cloud Infrastructure Engineer Location: Lisle, IL Onsite/ Remote: Day 1 Onsite at ... AI thoughtfully across platform engineering and application teams. "*** is an Equal Employment ...

Guru Schools

Cloud Infrastructure Engineer

Chicago, IL · On-site

$110.80K - $145.40K/yr

Cloud Infrastructure Engineer Location - Chicago, IL- Must be local to Chicago area only. Duration ... Familiarity with GitHub Copilot or AI-assisted developer tooling integration within a CI/CD or ...

Guru Schools

Cloud Infrastructure Engineer

Chicago, IL · On-site

$110.70K - $145.20K/yr

Cloud Infrastructure Engineer Location - Chicago, IL- Must be local to Chicago area only. Duration ... Familiarity with GitHub Copilot or AI-assisted developer tooling integration within a CI/CD or ...

Simplex Trading

Infrastructure Engineer

Chicago, IL · On-site

$125K - $200K/yr

Infrastructure Engineer pay range $125,000-$200,000 USD Why us? Founded in Chicago in 2004, Simplex ... For all job postings, Simplex may use AI to review and analyze applications, resumes, interviews ...

Moonlite

Sr. Site Reliability Engineer (SRE)

Chicago, IL

$58.75 - $78/hr

Our team of AI infrastructure specialists combines bare-metal performance with cloud-native ... Working closely with our systems engineers, network engineers, and platform engineering team, you ...

Diverse Lynx

Cloud Infrastructure Engineer

Lisle, IL · On-site

$110K/yr

Key Responsibilities • Design, build, and maintain cloud infrastructure and platform services on ... AI thoughtfully across platform engineering and application teams. Diverse Lynx LLC is an Equal ...

Redwood Logistics

Infrastructure Cloud Engineer

Chicago, IL · Hybrid

$110.80K - $145.40K/yr

Infrastructure Cloud Engineer Reports To: Chief Information Security Officer Location: Chicago, IL ... Integrate AI-powered security and monitoring tools to proactively detect threats and reduce ...

Redwood Logistics

Infrastructure Cloud Engineer

Chicago, IL · Hybrid

$110.70K - $145.20K/yr

Infrastructure Cloud Engineer Reports To: Chief Information Security Officer Location: Chicago, IL ... Integrate AI-powered security and monitoring tools to proactively detect threats and reduce ...

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Internship Ai Infrastructure Engineer information

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$11

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How much do internship ai infrastructure engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship ai infrastructure engineer in Romeoville, IL is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $21.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship AI Infrastructure Engineer, and why are they important?

To thrive as an Internship AI Infrastructure Engineer, you need a solid understanding of computer science fundamentals, programming (especially in Python or C++), and basic knowledge of machine learning frameworks, often supported by ongoing studies in a relevant field. Familiarity with cloud platforms (like AWS, GCP, or Azure), version control systems (such as Git), and containerization tools (Docker, Kubernetes) is typically expected. Strong problem-solving abilities, curiosity, teamwork, and effective communication help interns stand out and integrate quickly into engineering teams. These skills are crucial for supporting scalable AI solutions, collaborating on complex projects, and contributing meaningfully in a fast-evolving technical environment.

What types of projects and responsibilities can an AI Infrastructure Engineer intern expect to work on?

As an AI Infrastructure Engineer intern, you can expect to be involved in projects that support the development, deployment, and scaling of AI models. Typical responsibilities may include optimizing data pipelines, maintaining and improving cloud or on-premise computing resources, and collaborating closely with data scientists to ensure efficient model training and inference. Interns often get hands-on experience with tools such as Docker, Kubernetes, and various cloud platforms, and work in cross-functional teams to troubleshoot and enhance AI workflows. This role provides a solid foundation in both software engineering and AI operations, preparing you for advanced positions in the field.

What does an Internship AI Infrastructure Engineer do?

An Internship AI Infrastructure Engineer assists in designing, developing, and maintaining the foundational systems that support artificial intelligence (AI) applications. They work with cloud platforms, data pipelines, and scalable computing resources to ensure that AI models can be trained and deployed efficiently. Interns may help automate workflows, optimize performance, and collaborate with data scientists and software engineers. The role provides hands-on experience with the tools and frameworks commonly used in AI engineering environments.

What is the difference between Internship Ai Infrastructure Engineer vs Data Engineer?

AspectInternship Ai Infrastructure EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Engineering, or related fields; some knowledge of AI and infrastructure toolsBachelor's or higher in Computer Science, Data Science, or related; experience with databases and data pipelines
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time, technical teams managing data systems and pipelines
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-driven industries

The Internship Ai Infrastructure Engineer role focuses on supporting AI infrastructure projects during an internship, emphasizing learning and assisting with AI systems setup. In contrast, Data Engineers build and maintain data pipelines and infrastructure for data analysis. While both roles require knowledge of technical tools, the internship role is more entry-level and learning-oriented, whereas Data Engineers are more experienced and responsible for ongoing data management.

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What cities near Romeoville, IL are hiring for Internship Ai Infrastructure Engineer jobs? Cities near Romeoville, IL with the most Internship Ai Infrastructure Engineer job openings:
Internship Ai Infrastructure Engineer jobs near you

AI Infrastructure Engineer

Bright Vision Technologies

Naperville, IL • Remote

$106.60K - $139.80K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description


Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled AI Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 AI Infrastructure Engineer Job Title: AI Infrastructure Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary: 100K – 150K
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.
Key Responsibilities
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations.
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams.
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering.
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate.
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication.
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics.
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale.
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing.
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently.
  • Partner with research and applied ML teams to plan capacity for upcoming training runs.
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure.
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement.
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform.
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, and collective communication.
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
  • Strong understanding of Linux internals, networking, and high-performance storage.
  • Experience with at least one major cloud provider’s ML infrastructure offerings.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.

Preferred Qualifications
  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to darshan@bvteck.com or contact us at +1 (908) 765-8199. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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