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Internship High Performance Computing Engineer Jobs in Dallas, TX

NorthMark Strategies

HPC Storage Engineer

Dallas, TX · On-site

NorthMark Compute & Cloud (NMC²) is a technology-driven company focused on enhancing high-performance computing and cloud infrastructure. The HPC Storage Engineer will design, deploy, and manage ...

Luxus

Mechanical Engineer III (Senior-Level)

Irving, TX

$97K - $128K/yr

Mechanical Engineer III (Senior-Level) - Mission Critical & Data Centers Company Name: DFW ... Data Centers, Mission Critical, Telecom, and High-Performance Computing (HPC/AI) Work Setting: In ...

Luxus

Mechanical Engineer III (Senior-Level)

Irving, TX · On-site

$120K - $155K/yr

Mechanical Engineer III (Senior-Level) - Mission Critical & Data Centers Company Name: DFW ... Data Centers, Mission Critical, Telecom, and High-Performance Computing (HPC/AI) Work Setting: In ...

NorthMark Strategies

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $146K/yr

NorthMark Compute & Cloud (NMC²) is a technology-driven company focused on enhancing high-performance computing and cloud infrastructure. The Senior Kubernetes Engineer will design, implement, and ...

Luxus

Mechanical Engineer III (Senior-Level)

Irving, TX

$97K - $128K/yr

Mechanical Engineer III (Senior-Level) - Mission Critical & Data Centers Company Name: DFW ... Data Centers, Mission Critical, Telecom, and High-Performance Computing (HPC/AI) Work Setting: In ...

VAST Data

Customer Support Engineer

Dallas, TX · On-site

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

Accenture

Full Stack Engineer Manager

Dallas, TX · On-site

$94K - $293K/yr

... engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that ... high-performance computing environments. Nextira joined the Accenture AWS Business Group and our ...

Introl

Data Center Technician

Dallas, TX · On-site

$30 - $36/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 ...

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Internship High Performance Computing Engineer information

See Dallas, TX salary details

$10

$59

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How much do internship high performance computing engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for internship high performance computing engineer in Dallas, TX is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.31 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Internship High Performance Computing Engineer jobs in Dallas, TX? For Internship High Performance Computing Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Dallas, TX look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Dallas, TX are:
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Internship High Performance Computing Engineer jobs near you

Software Engineer, HPC Scheduling

NorthMark Strategies

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

The Company
NorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
The Position
The HPC Scheduling team develops and manages a large high-performance compute (HPC) platform to enable the business to conduct complex research at scale. We are seeking a highly motivated person to join our team to help us continue to push the envelope running batch workloads on Kubernetes.
The ideal candidate will have an active interest in Kubernetes and batch computing, a broad range of experience with software engineering and development, as well as experience managing large-scale infrastructure and complex tooling environments.
The main focus will be on Armada - an exciting open source CNCF project built and maintained by the team - which we use to solve multi-cluster Kubernetes batch job scheduling at scale.
You'll join an experienced team, working at the cutting-edge of ML workloads and at scale.
Responsibilities
  • Designing and developing high-quality software solutions using procedural programming languages, with a focus on Golang
  • Building and maintaining highly scalable, highly available and globally distributed systems to support large-scale research workloads
  • Managing and optimising data interactions across relational and non-relational databases, particularly PostgreSQL
  • Developing and operating containerised applications within Kubernetes, ensuring effective orchestration and workload scheduling
  • Supporting, tuning and troubleshooting Linux-based systems as part of our core compute platform
  • Applying core networking knowledge to help debug, optimise and enhance platform connectivity and performance
  • Independently diagnosing and resolving complex technical issues across infrastructure and software layers
  • Applying solid software architecture principles, computer science fundamentals and data structure knowledge to guide design decisions and code quality
  • Driving continuous improvement by contributing to CI/CD pipelines and engineering best practices
  • Staying up to date with emerging technologies and approaches, and applying new knowledge across disciplines

Requirements
  • Experience with developing Kubernetes components, such as controllers and operators
  • Experience with event-driven programming and message queues, such as apache Kafka and Pulsar
  • Experience of high-performance computing, Kubernetes, or DAG (Directed Acyclic Graph) workflows
  • Experience of running systems at scale using a cloud provider, ideally AWS
  • Use of operational and runtime tools and practices, including monitoring and logging with systems such as Prometheus and Grafana
  • Experience of operating or using job scheduling systems, such as SLURM

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company's needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Benefits & Perks:
  • Company-Paid Lunch Stipend: Lunch is provided via GrubHub
  • Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
  • 401(k): Company will match 100% of your contributions up to 6%
  • Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
  • Time Off: 25 days of Paid Time Off plus 12 company holidays

EQUAL OPPORTUNITY EMPLOYER
NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

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