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Internship High Performance Computing Engineer Jobs in Charlotte, NC

trane technologies

Senior Data Scientist

Davidson, NC · On-site

The role operates within a globally distributed team focused on generative AI, machine learning, deep learning, high performance computing, data access, content engineering, data enhancement, and ...

360 IT Professionals

Automation QA

Charlotte, NC · On-site

... Cloud computing and IT staffing. Merging Information Technology skills in all its services and ... to deliver high-performance results, based exclusively on the one of a kind requirement. Our ...

360 IT Professionals

Automation QA

Charlotte, NC · On-site

... Cloud computing and IT staffing. Merging Information Technology skills in all its services and ... to deliver high-performance results, based exclusively on the one of a kind requirement. Our ...

Guidehouse

Data Engineer

Charlotte, NC

$53K - $88K/yr

Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Guidehouse

Data Engineer

Charlotte, NC · On-site

$53K - $88K/yr

Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

BC Forward

Application Programmer III

Charlotte, NC · On-site

$68.25/hr

The ideal candidate will have strong experience in high-performance Java, real-time distributed ... Preferred Skills: Experience with cloud computing and containerization. Understanding of ...

1 point system

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

* The Cloud Data Storage / Data Engineer SME & Data Structure Designer will support the design, implementation, and optimization of secure, scalable, and high-performance cloud-based data platforms for ...

Accenture

AI & HPC Infrastructure Engineer

Charlotte, NC · On-site

$105K - $137K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

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Internship High Performance Computing Engineer information

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

As of Aug 20, 2026, the average hourly pay for internship high performance computing engineer in Charlotte, NC is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.44 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an internship high performance computing engineer?

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.

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Internship High Performance Computing Engineer jobs near you

Electromagnetic Simulation Engineer

GM Performance Power Units

Concord, NC • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Job description

GM Performance Power Units - Concord, NC
Electromagnetic Simulation Engineer - Onsite
Job Summary
GM Performance Power Units (GM PPU) is seeking a skilled and motivated Electromagnetic Simulation Engineer to join our innovative engineering team in Concord, NC. This role focuses on electromagnetic (EM) simulation, analysis, and optimization of MGU-K electric motors and power electronics for Formula 1 power units. The engineer will support design teams by providing high-fidelity EM modeling to optimize performance, efficiency, losses, thermal loads, and manufacturability.
Key Responsibilities
  • Develop and execute 2D/3D electromagnetic finite element analysis (FEA) models for high power, high speed electric motors using tools like JMAG, Motor-CAD, Ansys Maxwell, or Flux.
  • Perform performance mapping, torque-speed curves, field-weakening analysis, efficiency maps, and loss calculations (copper, iron, eddy current, PM losses).
  • Analyze and optimize designs for high-speed operation (60k+ RPM), high power density, thermal management, and manufacturability constraints.
  • Support transient and harmonic analyses for inverter switching effects, PWM harmonics, and electromagnetic forces.
  • Collaborate with mechanical, thermal, controls, and manufacturing teams to integrate EM results into holistic motor design.
  • Validate simulation results against test data and support motor prototype development and testing.
  • Document analysis methods, results, and recommendations in technical reports and design reviews.
  • Stay current with latest EM simulation methodologies and industry best practices.

Required Qualifications
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related technical field; Master's degree preferred.
  • 3-7 years of experience in electromagnetic simulation for electric motors or machines.
  • Proficiency with commercial EM FEA tools (JMAG, Ansys Maxwell, Motor-CAD, Flux, or equivalent).
  • Strong understanding of electric machine theory, including PMSM/IPMSM design principles, field-weakening, reluctance torque, and loss mechanisms.
  • Experience with performance mapping, efficiency optimization, and thermal-electromagnetic coupling.
  • Proficiency in Python, MATLAB, or similar for post-processing, automation, and data analysis.
  • Ability to work collaboratively in cross-functional teams and communicate technical results effectively.

Preferred Qualifications
  • Experience in motorsport, F1, high-performance EV, or aerospace electric motor applications.
  • Knowledge of power electronics integration effects on motor performance (inverter harmonics, switching losses).
  • Familiarity with advanced motor topologies (axial flux, hairpin windings, variable flux) and high-speed rotor design.
  • Experience with parametric optimization, DOE, and machine learning-assisted design workflows.
  • Understanding of manufacturing impacts on EM performance (winding factors, material properties, tolerances).
  • Experience correlating simulation with dyno/test data and supporting root cause analysis.

Personal Attributes
  • Analytical mindset with strong problem-solving skills and attention to detail.
  • Proactive and self-motivated with ability to manage multiple priorities.
  • Team player comfortable working in fast-paced, high-performance engineering environment.
  • Passionate about electric machine design and motorsport technology.
  • Effective communicator who can translate complex EM concepts to non-specialists.

Ready to be part of a team that pushes boundaries both on and off the track? At GM Performance Power Units, we are developing a new era of performance for the Formula 1 grid. Joining us means entering a startup racing environment backed by a legacy of engineering excellence, giving you the rare opportunity to help build a world-class program from day one. We believe in rewarding innovation and powering potential. As part of our team, you'll benefit from a competitive and comprehensive package designed to support your performance, well-being, and future, helping you thrive at every level.
That includes access to:
  • Bonus scheme
  • Private healthcare
  • 401(k) plan including company match
  • Employer-paid life insurance and disability coverage
  • 32 days annual leave (including holidays)
  • Free financial advisor access
  • Employee Assistance Programs (EAP)
  • Subsidized on-site dining
  • On-site gym
  • Discounted GM vehicle purchase/lease program
  • Free on-site EV charging for personal GM vehicles

It's all part of our commitment to creating a workplace that's as high-performing and forward-thinking as the people who make it succeed.
Join us and help power what's next.
Why Join Us
You'll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance.
Please note: GM Performance Power Units and all affiliated companies are Equal Opportunity employer(s). Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf.
Only direct hires need apply to or inquire about job postings at GM Performance Power Units. We are not accepting calls, resumes or applications from recruiting firms at this time.

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