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Internship High Performance Computing Engineer Jobs in Illinois

Deloitte

HPC AI Solution Architect (S2S)

Chicago, IL · On-site

$65 - $85.50/hr

... Engineer on their Silicon2Service team. The role involves designing and deploying integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure ...

Introl

Data Center Technician

Chicago, IL · On-site

$22 - $35/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

TalentWave

Network Software Engineer

Chicago, IL · On-site

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

TalentWave

Network Software Engineer

Chicago, IL

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

Jump Trading

HPC Operations Engineer

Chicago, IL

$71.60K - $96.80K/yr

... programming languages * Manage relationships with outside vendors, including traveling both ... High performance computing (HPC), including parallel filesystems (e.g., Lustre, GPFS), batch ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL · On-site

$127.70K - $167.40K/yr

A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). * Demonstrated experience owning ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL

$127.70K - $167.40K/yr

A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). * Demonstrated experience owning ...

Deloitte

HPC AI Solution Architect (S2S)

Chicago, IL · On-site

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

Jump Trading

HPC Operations Engineer

Chicago, IL · On-site

$150K - $175K/yr

... programming languages * Manage relationships with outside vendors, including traveling both ... High performance computing (HPC), including parallel filesystems (e.g., Lustre, GPFS), batch ...

Belvedere Trading

FPGA Engineer

Chicago, IL

$175K - $225K/yr

Our trading models and software systems are continually re-engineered, optimized, and maintained to ... Work on high-performance computing systems to break speed and performance boundaries * Build next ...

Belvedere Trading

FPGA Engineer

Chicago, IL · On-site

$175K - $225K/yr

Our trading models and software systems are continually re-engineered, optimized, and maintained to ... Work on high-performance computing systems to break speed and performance boundaries > * Build next ...

Belvedere Trading

FPGA Engineer

Chicago, IL

$133.90K - $172K/yr

Our trading models and software systems are continually re-engineered, optimized, and maintained to ... Work on high-performance computing systems to break speed and performance boundaries * Build next ...

Geneva Trading

System Operations Engineer

Chicago, IL · On-site

$75K - $90K/yr

AI & High-Performance Computing: Support the hardware and software environments required for AI and ... Performance Engineering: Conduct system testing to identify inefficiencies in hardware (CPU/GPU ...

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Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What are the most commonly searched types of High Performance Computing Engineer jobs in Illinois? The most popular types of High Performance Computing Engineer jobs in Illinois are:
What are popular job titles related to Internship High Performance Computing Engineer jobs in Illinois? For Internship High Performance Computing Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Illinois look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Illinois are:
Internship High Performance Computing Engineer jobs near you
HPC AI Solution Architect (S2S)

HPC AI Solution Architect (S2S)

Deloitte

Chicago, IL • On-site

$65 - $85.50/hr

Full-time

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

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Lead Cloud Integrated Infra Engineer on their Silicon2Service team. The role involves designing and deploying integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure, collaborating closely with AI specialists and ecosystem partners to deliver effective solutions for clients.
Responsibilities:
• Leading architecture for pursuits and active opportunities, including discovery, requirements, constraints, and target-state design
• Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations
• Driving architecture trade-offs and decisions across performance, scalability, reliability, locality, total cost of ownership, time-to-value, and risk
• Owning the technical solution strategy in proposals and RFPs, including architecture narrative, assumptions, dependencies, sizing guidance, and delivery approach
• Facilitating client workshops and technical reviews and translating engineering detail into executive-ready communications
• Architecting complex, innovative technology solutions with a focus on business outcomes, cost of quality, and long-term scalability and sustainability.
• Engaging with C-Suite client leadership during sales and delivery, including leading technical pre-sales discussions, shaping proposals, and supporting the closing of new business opportunities
• Supporting go-to-market strategies, including participation in industry events, conferences, and client briefings
Qualifications:
Required:
• 10+ years of experience in infrastructure architecture or engineering for large-scale platforms including design, implementation, operations, and optimization.
• 4+ years designing or delivering GPU-accelerated platforms for AI, ML, or high-performance computing
• 3+ years Linux system administration in production environments
• 3+ years designing or operating distributed compute clusters for AI/HPC in hybrid cloud setups, including multi-GPU topologies, partitioning, scheduler integration, and scalability for edge-to-cloud workloads.
• 2+ years with high-performance networking or storage for AI/HPC
• 2+ years building containerized platforms using Kubernetes or Red Hat OpenShift, including GPU operators/drivers, CUDA container runtime, and cluster lifecycle automation
• 2+ years automating infrastructure as code(IaC) with tools like Terraform and Ansible
• At least 2 end-to-end deployments of reference architectures in the cloud or on-prem, including variants with security controls, network segmentation, operational runbooks, and validation testing
• Experience in pre-sales or sales engineering, including discovery, solution demonstrations, and proposal/RFP contributions
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• 2+ years implementing AI/HPC cluster scheduling (Slurm and Kubernetes), including multi-tenant queues, quotas, and GPU-aware policies
• 2+ years supporting generative AI infrastructure patterns, including multi-node distributed training
• Experience with AI agents and frameworks
• Experience with high-throughput storage for AI/HPC
• Experience executing NVIDIA co-sell motions with OEMS (Dell, HPC, Lenovo), CSPs ( AWS, Azure, Google Cloud), or independent software vendors ( Run:ai, OpenShift, Weights & Biases)
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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